{ "fetched_at": "2026-10-18T14:05:22Z", "source_url": "https://www.kaggle.com/competitions/czii-cryo-et-object-identification/data", "pages": [ { "name": "data-description", "content": "This competition is focused on identifying points corresponding to particle centers in 3D tomograms. For testing you will have a list of 3D arrays to process named \"experiments\", and you will need to submit a CSV with particle locations of 5 particle types in all experiments.\n\nThe data contains 6 particle types with different difficulty levels of prediction.\n\n- apo-ferritin (easy)\n- beta-amylase (impossible, not scored)\n- beta-galactosidase (hard)\n- ribosome (easy)\n- thyroglobulin (hard)\n- virus-like-particle (easy)\n\nNote that beta-amylase is not scored because it is considered to be too difficult for accurate evaluation. It is included in the data, but whether or not it is predicted has no bearing on the score.\n\n## File Information ##\n\n- **train/**\n - static/ExperimentRuns/{`experiment`}/VoxelSpacing10.000/\n - denoised.zarr/ - zarr files of experiment containing tomograph data\n - {3 other data filtered options, which are not included in test}\n - overlay/ExperimentRuns/{`experiment`}/Picks/\n - {`particle_type`}.json - ground truth files containing coordinates of particles\n- **test/**\n - static/ExperimentRuns/{`experiment`}/VoxelSpacing10.000/\n - denoised.zarr/ - zarr files of experiment containing tomograph data\n- **sample_submission.csv** - a submission file in the correct format\n\nThe test dataset on this page is example data copied over from the training dataset. The rerun test dataset contains ~500 tomographs.\n\n## Tomograms\n\nThe tomograms are 3D arrays, and are provided as multiscale 3D OME-NGFF Zarr arrays. Tomograms can be opened with the zarr, ome-zarr, and copick libraries.\n\nIn the training data 4 filtered versions of the tomograms are provided. (Only the denoised option is included in the test data.)\n\n- denoised (this is the only tomogram type included in test)\n- wbp (weighted back projection)\n- ctfdeconvolved\n- isonetcorrected \n\nThese zarrs can be found in the competition directory, and details about their methods can be found in the preprint mentioned in the pinned welcome post. Note that these are multiscale zarr arrays, and `0` corresponds to the highest resolution. You can use [copick](https://copick.github.io/copick/) to traverse the zarrs and maintain associations with labels, see the pinned notebooks.\n\n## Particle locations\n\nParticle locations are stored in json files according to the copick specification. You can use [copick](https://copick.github.io/copick/) to read from the json files and perform utility functions like converting points into segmentation masks, see the pinned notebooks.\n\nIf you intend to use [copick](https://copick.github.io/copick/) to get tomograms, points, and labels, then see the example notebooks which provide examples for access to tomograms and making valid predictions of particle locations.\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Description", "content": "Protein complexes (such as oxygen-carrying hemoglobin, or keratin in hair, and thousands of others) are essential for cell function, and understanding their interactions is essential for our health and finding new disease treatments. Cryo-electron tomography (cryoET) creates 3D images—called tomograms—at near-atomic detail, showing proteins in their very complex and crowded natural environment. Therefore, cryoET has immense potential to unlock the mysteries of the cell.\n\n\nThere is a wealth of cryoET tomograms that is yet to be fully mined. A large and growing portion of this published corpus exists in a standardized format in the cryoET data portal (cryoetdataportal.czscience.com). Mining this data requires automatic identification of each protein molecule within these images. This problem has not been solved even for proteins that are identifiable by the human eye. A generalizable solution will reveal the “dark matter” of the cell, and will enable thousands of discoveries contributing to human health.\n\nThis competition challenges you to create ML algorithms that automatically annotate five classes of protein complexes within a curated real-world cryoET dataset.\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Evaluation", "content": "Submissions are evaluated by calculating the F-beta metric with a beta value of 4. The F-beta metric with a beta value of 4 is used to prioritize recall over precision, heavily penalizing missed particles while being more lenient on false positives. In this context, a particle is considered \"true\" if it lies within a factor of 0.5 of the particle of interest's radius. There are five particles of interest, with three \"easy\" particles (ribosome, virus-like particles, and apo-ferritin) assigned a weight of 1 and two \"hard\" particles (thyroglobulin and β-galactosidase) assigned a weight of 2. The results are micro-averaged across multiple tomograms, ensuring that precision and recall are computed across the entire dataset before applying the F-beta formula. The higher beta value (4) and particle weights emphasize the correct identification of particles, particularly the \"hard\" ones, making recall the dominant factor in evaluating performance.\n\nNote: beta-amylase particles are included in the training data and may be predicted, but they are assigned a weight of 0 and have no impact on scoring.\n\nHere is the notebook with the [official metric code](https://www.kaggle.com/code/metric/czi-cryoet-84969).\n\n\n## Submission File\nFor each `experiment` in the test set, you should predict the 3D locations (`x`, `y`, `z`) of each of the different `particle_type`s. Your submission should contain an `id` column with a unique integer at each row. The file should contain a header and have the following format:\n\n id,experiment,particle_type,x,y,z\n 0,TS_5_4,beta-amylase,2983.596,3154.13,764.124\n 1,TS_5_4,beta-amylase,2983.596,3154.13,764.124\n 2,TS_5_4,beta-galactosidase,2983.596,3154.13,764.124\n etc.", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "rules", "content": "\n\n\n## ENTRY INTO THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULES. NO PURCHASE NECESSARY TO COMPETE.\n\n**[See Section 1](rules#1.-competition-specific-terms.) and [Section 3.18 for defined terms](rules#18.-definitions.)**\n\n*The Competition named below is a skills-based competition to promote and further the field of data science, biomedical science and disease treatment by Participants developing machine learning algorithms to annotate diverse protein complexes in 3D cellular images in furtherance of the charitable mission of Competition Sponsor and Competition Host (the “Competition Objectives”). You must register via the Competition Website to enter. By entering and participating in the Competition in any way, you agree to these Official Competition Rules, which incorporate by reference as though stated herein the terms, provisions and requirements provided on the Competition Website (collectively, the “Rules”). Please read these Rules carefully before entry to ensure you understand. If you do not agree to these Rules, you are not eligible to participate in the Competition in any way, cannot submit a Submission and cannot win a Prize. These Rules form a binding legal agreement between you and the Competition Sponsor with respect to the Competition. Your competition Submissions (\"Submissions\") must conform to the requirements stated on the Competition Website. Your Submissions will be scored based on the evaluation metric described on the Competition Website, which have been designed specifically to encourage achievements that further the Competition Objectives. Subject to compliance with the Competition Rules, Prizes will be awarded to Participants with the best scores, based on the merits of the data science models submitted.*\n\nThese Official Competition Rules are divided into three sections: 1. Competition Specific Terms; 2. Competition Specific Rules; and 3. General Competition Rules.\n\n\n**You cannot sign up to Kaggle from multiple accounts and therefore you cannot enter or submit from multiple accounts.**\n\n\n\n ## 1. **COMPETITION-SPECIFIC TERMS.**\n

1. COMPETITION TITLE

CZII - CryoET Object Identification\n

2. COMPETITION HOST

\nCZ Imaging Institute (CZII)\n

3. COMPETITION SPONSOR

\nChan Zuckerberg Initiative Foundation\n

4. COMPETITION SPONSOR ADDRESS

\n2682 Middlefield Road Suite i, Redwood City, CA, 94063 USA\n

5. COMPETITION WEBSITE

\nhttps://www.kaggle.com/c/czii-cryo-et-object-identification\n

6. TOTAL PRIZES AVAILABLE

$75,000\n - First Prize: $15,000\n - Second Prize: $12,000\n - Third Prize: $10,000\n - Fourth Prize: $7,000\n - Fifth Prize: $6,000\n - Sixth Prize: $5,000\n - Seventh Prize: $5,000\n - Eighth Prize: $5,000\n - Ninth Prize: $5,000\n - Tenth Prize: $5,000\n \n

7. WINNER LICENSE TYPE

\nOpen Source - MIT License\n

8. DATA ACCESS AND USE

\nCompetition + Non-Commercial + Commercial - CC0: public domain\n## 2. COMPETITION-SPECIFIC RULES. \nThe following provisions are specific to this Competition. \n\n

1. TEAM LIMITS

\n a. The maximum Team size is five (5) individuals. \n b. Team mergers are allowed and can be performed by the Team leader. In order to merge, the combined Team must have a total Submission count less than or equal to the maximum allowed as of the Team Merger Deadline (specified on the Overview \\> Timeline page on the Competition Website). The maximum allowed is the number of Submissions per day multiplied by the number of days the competition has been running. \n

2. SUBMISSION LIMITS

\n a. You may submit a maximum of five (5) Submissions per day. \n b. You may select up to two (2) Final Submissions for judging. \n c. You may submit using only one Kaggle account. You cannot enter or submit from multiple Kaggle accounts. \n

3. COMPETITION TIMELINE

\n a. Competition Timeline dates (including Entry Deadline, Final Submission Deadline, Start Date, and Team Merger Deadline, as applicable) are reflected on the Competition’s Overview \\> Timeline page. \n

4. COMPETITION DATA

\n a. Data Access and Use. \n 1. You may access and use the Competition Data for any purpose, whether commercial or non-commercial, including for participating in the Competition and on Kaggle.com forums, and for academic research and education. \n 2. The Competition Data is also subject to the following terms and conditions: https://creativecommons.org/publicdomain/zero/1.0/. To the extent that the terms and conditions located at the URL conflict with or are inconsistent with these Rules, these Rules will govern your use of the Competition Data. \n b. Data Security.\n 1. You agree to use reasonable and suitable measures to maintain the security of the Competition Data. \n\n

5. WINNER’S LICENSE AND NON-CONFIDENTIALITY.

\n a. Under Section 2.8 (Winners Obligations) below, you hereby grant and will grant the Competition Sponsor the following license(s) with respect to your Submission if you are a Competition winner: \n 1. Open Source - MIT: You hereby license and will license your winning Submission and the source code used to generate the Submission under an Open Source Initiative-approved license (see [www.opensource.org][3]) that in no event limits commercial use of such code or model containing or depending on such code. \n 2. For generally commercially available software that you used to generate your Submission that is not owned by you, but that can be procured by the Competition Sponsor without undue expense, you do not need to grant the license in the preceding Section for that software. However, use of such software must still comply with Section 2.5.a.1 above with respect to your Submission. \n 3. In the event that input data or pretrained models with an incompatible license are used to generate your winning solution, you do not need to grant an open source license in the preceding Section for that data and/or model(s). However, use of such data and/or models must still comply with Section 2.5.a.1 above with respect to your Submission. \n b. You may be required by the Competition Sponsor to provide a detailed description of how the winning Submission was generated, to the Competition Sponsor’s specifications, as outlined in Section 2.8 (Winner’s Obligations). This may include a detailed description of methodology, where one must be able to reproduce the approach by reading the description, and includes a detailed explanation of the architecture, preprocessing, loss function, training details, hyper-parameters, etc. The description should also include a link to a code repository with complete and detailed instructions so that the results obtained can be reproduced. \n c. You acknowledge that Submissions are provided with no obligation of confidentiality and that Submissions do not constitute trade secrets. \n

6. EXTERNAL DATA AND TOOLS.

\n a. You may use data other than the Competition Data (“External Data”) to develop and test your Submissions. However, you will ensure the External Data is either publicly available and equally accessible to use by all Participants of the Competition for purposes of the Competition at no cost to the other Participants, or satisfies the Reasonableness criteria as outlined in Section 2.6.b below. The ability to use External Data under this Section does not limit your other obligations under these Competition Rules, including but not limited to Section 2.8 (Winners Obligations). \n b. The use of external data and models is acceptable unless specifically prohibited by the Competition Host. Because of the potential costs or restrictions (e.g., “geo restrictions”) associated with obtaining rights to use external data or certain software and associated tools, their use must be “reasonably accessible to all” and of “minimal cost”. Also, regardless of the cost challenges as they might affect all Participants during the course of the competition, the costs of potentially procuring a license for software used to generate a Submission, must also be considered. The Competition Host will employ an assessment of whether or not the following criteria can exclude the use of the particular LLM, data set(s), or tool(s): \n 1. Are Participants being excluded from a competition because of the \"excessive\" costs for access to certain LLMs, external data, or tools that might be used by other Participants. The Competition Host will assess the excessive cost concern by applying a “Reasonableness” standard (the “Reasonableness Standard”). The Reasonableness Standard will be determined and applied by the Host in light of things like cost thresholds and accessibility. \n 2. By way of example only, a small subscription charge to use additional elements of a large language model such as Gemini Advanced are acceptable if meeting the Reasonableness Standard of Sec. 8.2. Purchasing a license to use a proprietary dataset that exceeds the cost of a prize in the competition would not be considered reasonable. \n c. Automated Machine Learning Tools (“AMLT”) \n 1. Individual Participants and Teams may use automated machine learning tool(s) (“AMLT”) (e.g., Google toML, H2O Driverless AI, etc.) to create a Submission, provided that the Participant or Team ensures that they have an appropriate license to the AMLT such that they are able to comply with the Competition Rules. \n\n

7. ELIGIBILITY

\n a. Employees, interns, contractors, officers and directors of Competition Entities may not enter or participate in the Competition, and are not eligible to win any Prizes. \"Competition Entities\" means the Competition Sponsor, Competition Host, and their respective parent companies, subsidiaries and affiliates. \n b. The following individuals are not eligible to participate: All employees and contingent workers of Chan Zuckerberg Initiative, LLC, Chan Zuckerberg Initiative Foundation, Chan Zuckerberg Biohub Network, Inc. (including the Competition Host and each CZ Biohub), and the Kempner Institute. \n c. Employees, interns, contractors, officers and directors of Kaggle may participate but are not eligible to win a prize. \n d. These entities and individuals are eligible to participate but are not eligible to win a prize because of their possible prior exposure to the competition planning and data: \n 1. All members of the CZ Imaging Institute Scientific Advisory Board and their group members (Wolfgang Baumeister, Max Planck Institute of Biochemistry; Ibrahim Cissé, Max Planck Institute of Immunobiology and Epigenetics; Tomas Kirchhausen, Boston Children’s Hospital; Jennifer Lippincott-Schwartz, Janelia Research Campus, Howard Hughes Medical Institute; Julia Mahamid, European Molecular Biology Laboratory, Heidelberg; Ellen Zhong, Princeton University). \n 2. All members of Bronwyn Lucas’ group at the University of California, Berkeley. \n 3. All members of Chris Ackerson’s group at Colorado State University. \n 4. All members of Emma Lundberg’s groups at Stanford University and SciLifeLab. \n

8. WINNER’S OBLIGATIONS.

\n a. As a condition to being awarded a Prize, a Prize winner must fulfill the following obligations: \n 1. Deliver to the Competition Sponsor the final model's software code as used to generate the winning Submission and associated documentation. The delivered software code should follow [these documentation guidelines][5], must be capable of generating the winning Submission, and contain a description of resources required to build and/or run the executable code successfully. For avoidance of doubt, delivered software code should include training code, inference code, and a description of the required computational environment. To the extent that the final model’s software code includes generally commercially available software that is not owned by you, but that can be procured by the Competition Sponsor without undue expense, then instead of delivering the code for that software to the Competition Sponsor, you must identify that software, method for procuring it, and any parameters or other information necessary to replicate the winning Submission; \n 2. Grant to the Competition Sponsor the license to the winning Submission stated in the Competition Specific Rules above, and represent that you have the unrestricted right to grant that license; \n 3. Sign and return all Prize acceptance documents as may be required by Competition Sponsor or Kaggle, including without limitation: (a) eligibility certifications; (b) licenses, releases and other agreements required under the Rules; and (c) U.S. tax forms (such as IRS Form W-9 if U.S. resident, IRS Form W-8BEN if foreign resident, or future equivalents). \n 4. Individual Participants and Teams who create a Submission using an AMLT may win a Prize. However, for clarity, the potential winner’s Submission must still meet the requirements of these Rules, including but not limited to Section 2.5 (Winner’s License and Non-confidentiality), Section 2.8 (Winner’s Obligations), and Section 3.14 (Warranty, Indemnity, and Release). \n

9. GOVERNING LAW.

\n a. Unless otherwise provided in the Competition Specific Rules above, all claims arising out of or relating to these Rules will be governed by California law, excluding its conflict of laws rules, and will be litigated exclusively in the Federal or State courts of San Mateo County, California, USA. The parties, including you, consent to personal jurisdiction in those courts. If any provision of these Rules is held to be invalid or unenforceable, all remaining provisions of the Rules will remain in full force and effect. \n##3. **GENERAL COMPETITION RULES.** \n

1. ELIGIBILITY.

\n a. To be eligible to enter the Competition, you must be: \n 1. a registered account holder at Kaggle.com; \n 2. the older of 18 years old or the age of majority in your jurisdiction of residence (unless otherwise agreed to by Competition Sponsor and appropriate parental/guardian consents have been obtained by Competition Sponsor); \n 3. not a resident of Crimea, so-called Donetsk People's Republic (DNR) or Luhansk People's Republic (LNR), Cuba, Iran, Syria, or North Korea; and \n 4. not a person or representative of an entity under U.S. export controls or sanctions (see: [https://www.treasury.gov/resourcecenter/sanctions/Programs/Pages/Programs.aspx][1])\n b. Competitions are open to residents of the United States and worldwide, except that if you are a resident of Crimea, so-called Donetsk People's Republic (DNR) or Luhansk People's Republic (LNR), Cuba, Iran, Syria, North Korea, or are subject to U.S. export controls or sanctions, you may not enter the Competition. Other local rules and regulations may apply to you, so please check your local laws to ensure that you are eligible to participate in skills-based competitions. The Competition Host reserves the right to forego or award alternative Prizes where needed to comply with local laws. If a potential winner is located in a country where prizes cannot be awarded, then that potential winner is not eligible to receive a Prize. \n c. If you are entering as a representative of a company, educational institution or other legal entity, or on behalf of your employer, these Rules are binding on you, individually, and the entity you represent or where you are an employee. If you are acting within the scope of your employment or as an agent of another party, you warrant that such party or your employer has full knowledge of your actions and has consented thereto, including your potential receipt of a Prize. You further warrant that your actions do not violate your employer's or entity's policies and procedures. \n d. The Competition Host reserves the right to verify eligibility and to adjudicate on any dispute at any time. If you provide any false information relating to the Competition concerning your identity, residency, mailing address, telephone number, email address, ownership of right, or information required for entering the Competition, you may be immediately disqualified from the Competition. \n

2. SPONSOR AND HOSTING PLATFORM.

\n a. The Competition is sponsored by Competition Sponsor named above. The Competition is administered on behalf of Competition Sponsor by Kaggle Inc. (\"Kaggle\"). Kaggle is an independent contractor of Competition Sponsor, and is not a party to this or any agreement between you and Competition Sponsor. You understand that Competition Sponsor is responsible for the Competition terms and criteria as described in these Rules, and is providing funds for the Prizes. You understand that Kaggle has no responsibility with respect to selecting the potential Competition winner(s) or awarding any Prizes. Kaggle will perform certain administrative functions relating to hosting the Competition, and you agree to abide by the provisions relating to Kaggle under these Rules. As a Kaggle.com account holder and user of the Kaggle competition platform, remember you have accepted and are subject to the Kaggle Terms of Service at [www.kaggle.com/terms][2] in addition to these Rules. \n

3. COMPETITION PERIOD.

\n a. For the purposes of Prizes, the Competition will run from the Start Date and time to the Final Submission Deadline as specified in the Competition Timeline on the Competition Website’s Overview \\> Timeline page (such duration the “Competition Period”). The Competition Timeline is subject to change, and Competition Sponsor may introduce additional hurdle deadlines during the Competition Period. Any updated or additional deadlines will be publicized on the Competition Website. It is your responsibility to check the Competition Website regularly to stay informed of any deadline changes. YOU ARE RESPONSIBLE FOR DETERMINING THE CORRESPONDING TIME ZONE IN YOUR LOCATION. \n

4. COMPETITION ENTRY.

\n a. NO PURCHASE NECESSARY TO ENTER OR WIN. To enter the Competition, you must register on the Competition Website prior to the Entry Deadline specified on the Competition Website, and follow the instructions for developing and entering your Submission through the Competition Website. Your Submissions must be made in the manner and format, and in compliance with all other requirements, stated on the Competition Website (the \"Requirements\"). Submissions must be received before any Submission deadlines stated on the Competition Website. Submissions not received by the stated deadlines will not be eligible to receive a Prize. \n b. Submissions may not use or incorporate information from hand labeling or human prediction of the validation dataset or test data records. \n c. If the Competition is a multi-stage competition with temporally separate training and/or test data, one or more valid Submissions may be required during each Competition stage in the manner described on the Competition Website in order for the Submissions to be Prize eligible. \n d. Submissions are void if they are in whole or part illegible, incomplete, damaged, altered, counterfeit, obtained through fraud, or late. Competition Sponsor reserves the right to disqualify any entrant who does not follow these Rules, including making a Submission that does not meet the Requirements. \n

5. INDIVIDUALS AND TEAMS.

\n a. Individual Account. You may make Submissions only under one, unique Kaggle.com account. You will be disqualified if you make Submissions through more than one Kaggle account, or attempt to falsify an account to act as your proxy. You may submit up to the maximum number of Submissions per day as specified on the Competition Website. \n b. Teams. If permitted under the Competition Website guidelines, multiple individuals may collaborate as a Team; however, you may join or form only one Team. Each Team member must be a single individual with a separate Kaggle account. You must register individually for the Competition before joining a Team. You must confirm your Team membership to make it official by responding to the Team notification message sent to your Kaggle account. Team membership may not exceed the Maximum Team Size stated on the Competition Website. \n c. Team Merger. Teams may request to merge via the Competition Website. Team mergers may be allowed provided that: (i) the combined Team does not exceed the Maximum Team Size; (ii) the number of Submissions made by the merging Teams does not exceed the number of Submissions permissible for one Team at the date of the merger request; (iii) the merger is completed before the earlier of: any merger deadline or the Competition deadline; and (iv) the proposed combined Team otherwise meets all the requirements of these Rules. \n d. Private Sharing. No private sharing outside of Teams. Privately sharing code or data outside of Teams is not permitted. It's okay to share code if made available to all Participants on the forums. \n

6. SUBMISSION CODE REQUIREMENTS.

\n a. Private Code Sharing. Unless otherwise specifically permitted under the Competition Website or Competition Specific Rules above, during the Competition Period, you are not allowed to privately share source or executable code developed in connection with or based upon the Competition Data or other source or executable code relevant to the Competition (“Competition Code”). This prohibition includes sharing Competition Code between separate Teams, unless a Team merger occurs. Any such sharing of Competition Code is a breach of these Competition Rules and may result in disqualification. \n b. Public Code Sharing. You are permitted to publicly share Competition Code, provided that such public sharing does not violate the intellectual property rights of any third party. If you do choose to share Competition Code or other such code, you are required to share it on Kaggle.com on the discussion forum or notebooks associated specifically with the Competition for the benefit of all competitors. By so sharing, you are deemed to have licensed the shared code under an Open Source Initiative-approved license (see [www.opensource.org][3]) that in no event limits commercial use of such Competition Code or model containing or depending on such Competition Code. \n c. Use of Open Source. Unless otherwise stated in the Specific Competition Rules above, if open source code is used in the model to generate the Submission, then you must only use open source code licensed under an Open Source Initiative-approved license (see [www.opensource.org][4]) that in no event limits commercial use of such code or model containing or depending on such code and allows you to meet the requirements of these Rules, including but not limited to Section 2.5 (Winners License). \n

7. DETERMINING WINNERS.

\n a. Each Submission will be scored and ranked by the evaluation metric stated on the Competition Website. During the Competition Period, the current ranking will be visible on the Competition Website's Public Leaderboard. The potential winner(s) are determined solely by the leaderboard ranking on the Private Leaderboard, subject to compliance with these Rules. The Public Leaderboard will be based on the public test set and the Private Leaderboard will be based on the private test set. \n b. In the event of a tie, the Submission that was entered first to the Competition will be the winner. In the event a potential winner is disqualified for any reason, the Submission that received the next highest score rank will be chosen as the potential winner. \n

8. NOTIFICATION OF WINNERS & DISQUALIFICATION.

\n a. The potential winner(s) will be notified by email. \n b. If a potential winner (i) does not respond to the notification attempt within one (1) week from the first notification attempt or (ii) notifies Kaggle within one week after the Final Submission Deadline that the potential winner does not want to be nominated as a winner or does not want to receive a Prize, then, in each case (i) and (ii) such potential winner will not receive any Prize, and an alternate potential winner will be selected from among all eligible entries received based on the Competition’s judging criteria. \n c. In case (i) and (ii) above Kaggle may disqualify the Participant. However, in case (ii) above, if requested by Kaggle, such potential winner may provide code and documentation to verify the Participant’s compliance with these Rules. If the potential winner provides code and documentation to the satisfaction of Kaggle, the Participant will not be disqualified pursuant to this paragraph. \n d. Competition Sponsor reserves the right to disqualify any Participant from the Competition if the Competition Sponsor reasonably believes that the Participant has attempted to undermine the legitimate operation of the Competition by cheating, deception, or other unfair playing practices or abuses, threatens or harasses any other Participants, Competition Sponsor, Competition Host or Kaggle. \n e. A disqualified Participant may be removed from the Competition leaderboard, at Kaggle's sole discretion. If a Participant is removed from the Competition Leaderboard, additional winning features associated with the Kaggle competition platform, for example Kaggle points or medals, may also not be awarded. \n f. The final leaderboard list will be publicly displayed at Kaggle.com. Determinations of Competition Sponsor are final and binding. \n

9. PRIZES.

\n a. Prize(s) are as described in these Rules and on the Competition Website and are only available for winning during the time period described on the Competition Website. The odds of winning any Prize depends on the number of eligible Submissions received during the Competition Period and the skill of the Participants. \n b. All Prizes are subject to Competition Sponsor's review and verification of the Participant’s eligibility and compliance with these Rules, and the compliance of the winning Submissions with the Submissions Requirements. In the event that the Submission demonstrates non-compliance with these Competition Rules, Competition Sponsor may at its discretion take either of the following actions: (i) disqualify the Submission(s); or (ii) require the potential winner to remediate within one week after notice all issues identified in the Submission(s) (including, without limitation, the resolution of license conflicts, the fulfillment of all obligations required by software licenses, and the removal of any software that violates the software restrictions). \n c. A potential winner may decline to be nominated as a Competition winner in accordance with Section 3.8. \n d. Potential winners must return all required Prize acceptance documents within two (2) weeks following notification of such required documents, or such potential winner will be deemed to have forfeited the prize and another potential winner will be selected. Prize(s) will be awarded within approximately thirty (30) days after receipt by Competition Sponsor or Kaggle of the required Prize acceptance documents. Transfer or assignment of a Prize is not allowed. \n e. You are not eligible to receive any Prize if you do not meet the Eligibility requirements in Section 2.7 and Section 3.1 above. \n f. If a Team wins a monetary Prize, the Prize money will be allocated in even shares between or among the eligible Team members, unless the Team unanimously opts for a different Prize split and notifies Kaggle in writing before Prizes are issued. \n

10. TAXES.

\n a. ALL TAXES IMPOSED ON PRIZES ARE THE SOLE RESPONSIBILITY OF THE WINNERS. Payments to potential winners are subject to the express requirement that they submit all documentation requested by Competition Sponsor or Kaggle for compliance with applicable state, federal, local and foreign (including provincial) tax reporting and withholding requirements. Prizes will be net of any taxes that Competition Sponsor is required by law to withhold. If a potential winner fails to provide any required documentation or comply with applicable laws, the Prize may be forfeited and an alternative potential winner identified in accordance with the process outlined above. Any winners who are U.S. residents will receive an IRS Form-1099 in the amount of their Prize. \n

11. GENERAL CONDITIONS.

\n a. All federal, state, provincial and local laws and regulations apply. \n

12. PUBLICITY.

\n a. You agree that Competition Sponsor, Competition Host and Kaggle and its affiliates may use your name and likeness for advertising and promotional purposes without additional compensation, unless prohibited by law. \n

13. PRIVACY.

\n a. You acknowledge and agree that Competition Sponsor, Competition Host and Kaggle may collect, store, share and otherwise use personally identifiable information provided by you during the Kaggle account registration process and the Competition, including but not limited to, name, mailing address, phone number, and email address (“Personal Information”). Kaggle acts as an independent controller with regard to its collection, storage, sharing, and other use of this Personal Information, and will use this Personal Information in accordance with its Privacy Policy <[www.kaggle.com/privacy][6]>, including for administering the Competition. As a Kaggle.com account holder, you have the right to request access to, review, rectification, portability or deletion of any personal data held by Kaggle about you by logging into your account and/or contacting Kaggle <[www.kaggle.com/contact][7]>. \n b. As part of the Competition, Kaggle will transfer your Personal Information to Competition Sponsor, which acts as an independent controller with regard to this Personal Information. Kaggle will transfer your Personal Information to Competition Sponsor in the country specified in the Competition Sponsor Address listed above, which may be a country outside the country of your residence. Such country may not have privacy laws and regulations similar to those of the country of your residence. \n

14. WARRANTY, INDEMNITY AND RELEASE.

\n a. You warrant that your Submission is your own original work and, as such, you are the sole and exclusive owner and rights holder of the Submission, and you have the right to make the Submission and grant all required licenses. You agree not to make any Submission that: (i) infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; or (ii) otherwise violates any applicable laws. \n b. To the maximum extent permitted by law, you indemnify and agree to keep indemnified Competition Entities at all times from and against any liability, claims, demands, losses, damages, costs and expenses resulting from any of your acts, defaults or omissions and/or a breach of any warranty set forth herein. To the maximum extent permitted by law, you agree to defend, indemnify and hold harmless the Competition Entities from and against any and all claims, actions, suits or proceedings, as well as any and all losses, liabilities, damages, costs and expenses (including reasonable attorneys fees) arising out of or accruing from: (a) your Submission or other material uploaded or otherwise provided by you that infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; (b) any misrepresentation made by you in connection with the Competition; (c) any non-compliance by you with these Rules or any applicable laws; (d) claims brought by persons or entities other than the parties to these Rules arising from or related to your involvement with the Competition; and (e) your acceptance, possession, misuse or use of any Prize, or your participation in the Competition and any Competition-related activity. \n c. You hereby release Competition Entities from any liability associated with: (a) any malfunction or other problem with the Competition Website; (b) any error in the collection, processing, or retention of any Submission; or (c) any typographical or other error in the printing, offering or announcement of any Prize or winners. \n

15. INTERNET.

\n a. Competition Entities are not responsible for any malfunction of the Competition Website or any late, lost, damaged, misdirected, incomplete, illegible, undeliverable, or destroyed Submissions or entry materials due to system errors, failed, incomplete or garbled computer or other telecommunication transmission malfunctions, hardware or software failures of any kind, lost or unavailable network connections, typographical or system/human errors and failures, technical malfunction(s) of any telephone network or lines, cable connections, satellite transmissions, servers or providers, or computer equipment, traffic congestion on the Internet or at the Competition Website, or any combination thereof, which may limit a Participant’s ability to participate. \n

16. RIGHT TO CANCEL, MODIFY OR DISQUALIFY.

\n a. If for any reason the Competition is not capable of running as planned, including infection by computer virus, bugs, tampering, unauthorized intervention, fraud, technical failures, or any other causes which corrupt or affect the administration, security, fairness, integrity, or proper conduct of the Competition, including but not limited to a pandemic, natural disaster, conflicts or crises, Competition Sponsor reserves the right to cancel, terminate, modify or suspend the Competition. Competition Sponsor further reserves the right to disqualify any Participant who tampers with the submission process or any other part of the Competition or Competition Website. Any attempt by a Participant to deliberately damage any website, including the Competition Website, or undermine the legitimate operation of the Competition is a violation of criminal and civil laws. Should such an attempt be made, Competition Sponsor and Kaggle each reserves the right to seek damages from any such Participant to the fullest extent of the applicable law. \n

17. NOT AN OFFER OR CONTRACT OF EMPLOYMENT.

\n a. Under no circumstances will the entry of a Submission, the awarding of a Prize, or anything in these Rules be construed as an offer or contract of employment with any of the Competition Entities. You acknowledge that you have submitted your Submission voluntarily and not in confidence or in trust. You acknowledge that no confidential, fiduciary, agency, employment or other similar relationship is created between you and any of the Competition Entities by your acceptance of these Rules or your entry of your Submission. \n

18. DEFINITIONS.

\n a. \"Competition Data\" are the data or datasets available from the Competition Website for the purpose of use in the Competition, including any prototype or executable code provided on the Competition Website. The Competition Data will contain private and public test sets. Which data belongs to which set will not be disclosed to Participants. \n b. An “Entry” is when a Participant has joined or signed up. Entry is required to make a Submission to a competition. \n c. A “Final Submission” is the Submission selected by the user, or automatically selected by Kaggle in the event not selected by the user, that is/are used for final placement on the competition leaderboard. \n d. A “Participant” or “Participant User” is an individual who participates in a competition by entering the competition and making a Submission on behalf of that individual or as a representative of a company, educational institution or other legal entity, or the individual’s employer. \n e. The “Private Leaderboard” is a ranked display of Participants’ Submission scores against the private test set. The Private Leaderboard determines the final standing in the competition. \n f. The “Public Leaderboard” is a ranked display of Participants’ Submission scores against a representative sample of the test data. This leaderboard is visible throughout the competition. \n g. A “Competition Sponsor” is responsible for sponsoring the Competition, which includes but is not limited to setting and enforcing these Rules and funding the Prizes. \n h. A “Competition Host” is responsible for hosting the Competition, including but not limited to establishing the evaluation metrics, adjudicating disputes regarding eligibility and Submissions, and corresponding with Participants. \n i. A “Submission” is anything provided by the Participant to the Sponsor to be evaluated for competition purposes and determine leaderboard position. A Submission may be made as a model, notebook, prediction file, or other format as determined by the Sponsor. \n j. A “Team” is one or more Participants participating together in a Kaggle competition, by officially merging together as a Team within the competition platform. \n k. The terms “you” and “your” refer to any individual who enters a competition. If that individual enters as a representative of a company, educational institution or other legal entity, or on behalf of the individual’s employer, the terms “you” and “your” also include that company, educational institution, other legal entity or employer and these Rules are binding on the individual as well as on the entity the individual represents. \n \n\n [1]: https://www.treasury.gov/resource-center/sanctions/Programs/Pages/Programs.aspx \n [2]: http://www.kaggle.com/terms \n [3]: http://www.opensource.org \n [4]: http://www.opensource.org \n [5]: https://www.kaggle.com/WinningModelDocumentationGuidelines \n [6]: http://www.kaggle.com/privacy \n [7]: http://www.kaggle.com/contact \n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "abstract", "content": "In this competition, you'll develop machine learning (ML) algorithms to annotate diverse protein complexes (biological particles with well-defined structures) in 3D cellular images, accelerating discoveries in biomedical science and advancing disease treatment.", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Timeline", "content": "* **November 6, 2024** - Start Date.\n\n* **${competition.ProhibitNewEntrantsExplicitDeadline}** - Entry Deadline. You must accept the competition rules before this date in order to compete.\n\n* **${competition.TeamMergerExplicitDeadline}** - Team Merger Deadline. This is the last day participants may join or merge teams.\n\n* **${competition.Deadline}** - Final Submission Deadline.\n\nAll deadlines are at 11:59 PM UTC on the corresponding day unless otherwise noted. The competition organizers reserve the right to update the contest timeline if they deem it necessary.", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Prizes", "content": "* 1st Place - $ 15,000\n* 2nd Place - $ 12,000\n* 3rd Place - $ 10,000\n* 4th Place - $ 7,000\n* 5th Place - $ 6,000\n* 6th Place - $ 5,000\n* 7th Place - $ 5,000\n* 8th Place - $ 5,000\n* 9th Place - $ 5,000\n* 10th Place - $ 5,000\n\nReminder: Winners of monetary prizes are required to provide a detailed report of their solution. Reports need to be written in English. Reports should be approximately 4 pages long, and include technical details acceptable for an academic workshop. Teams must provide their report to Competition Sponsor no later than 2 weeks after the Submission deadline.", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Code Requirements", "content": "\n\n### This is a Code Competition\n\nSubmissions to this competition must be made through Notebooks. In order for the \"Submit\" button to be active after a commit, the following conditions must be met:\n\n- CPU Notebook <= 12 hours run-time\n- GPU Notebook <= 12 hours run-time\n- Internet access disabled\n- Freely & publicly available external data is allowed, including pre-trained models\n- Submission file must be named `submission.csv`\n\nPlease see the [Code Competition FAQ](https://www.kaggle.com/docs/competitions#notebooks-only-FAQ) for more information on how to submit. And review the [code debugging doc](https://www.kaggle.com/code-competition-debugging) if you are encountering submission errors.", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Competition Sponsors", "content": "The Chan Zuckerberg Initiative was founded in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education, to addressing the needs of our communities. Through collaboration, providing resources and building technology, our mission is to help build a more inclusive, just and healthy future for everyone.\n\nThe CZ Imaging Institute, a Chan Zuckerberg Initiative Institute, aims to push forward the development and application of new imaging technologies over the next 10 to 15 years to obtain deep insights into the architecture of complex biological systems at the molecular level. \n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false } ] }