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  "fetched_at": "2026-10-24T02:56:20Z",
  "source_url": "https://www.kaggle.com/competitions/generative-dog-images/data",
  "pages": [
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      "name": "rules",
      "content": "### One account per participant\n\nYou cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.\n\n### No private sharing outside teams\n\nPrivately 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\n### Team Mergers\n\nTeam 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 merge date. The maximum allowed is the number of submissions per day multiplied by the number of days the competition has been running.\n\n### Team Limits\n\nThe maximum team size is 5.\n\n### Submission Limits\n\nYou may submit a maximum of 3 entries per day.\n\nYou may select up to 2 final submissions for judging.\n\n### Competition Timeline\n\nStart Date: June 28, 2019\n\nMerger Deadline: N/A\n\nEntry Deadline: N/A\n\nEnd Date (Final Submission Deadline): **August 14, 2019 11:59 PM UTC**\n\n### COMPETITION-SPECIFIC TERMS\n\n**COMPETITION TITLE**: Generative Dog Images\n\n**COMPETITION SPONSOR**: Kaggle\n\n**COMPETITION SPONSOR ADDRESS**: 1600 Amphitheatre Parkway Mountain View CA 94043\n\n**COMPETITION WEBSITE**: https://www.kaggle.com/c/generative-dog-images\n\n**TOTAL PRIZES AVAILABLE: $10,000**\n\nFirst Prize: $2,000\n\nSecond Prize: $2,000\n\nThird Prize: $2,000\n\nFourth Prize: $2,000\n\nFifth Prize: $2,000\n\n**WINNER LICENSE TYPE**: Open Source\n\nCompetitions are open to residents of the United States and worldwide, except that if you are a resident of Crimea, Cuba, Iran, Syria, North Korea, Sudan, 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 Sponsor reserves the right to award alternative Prizes where needed to comply with local laws.\n\n**ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULES.**\n\nThe Competition named above is a skills-based competition to promote and further the field of data science. You must register via the Competition Website to enter. 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. Subject to compliance with the Competition Rules, Prizes, if any, will be awarded to participants with the best scores, based on the merits of the data science models submitted. See below for the complete Competition Rules.\n\n### A. COMPETITION-SPECIFIC RULES\n\nIn addition to the provisions of the General Competition Rules below, you understand and agree to these Competition-Specific Rules required by the Competition Sponsor:\n\n#### **WINNERS LICENSE.** \n\nUnder Section 11 (Winners Obligations) of the General Rules below, you hereby grant and will grant Competition Sponsor the following license(s) with respect to your Submission if you are a Competition winner:\n \n*Open Source*: 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) that in no event limits commercial use of such code or model containing or depending on such code.\n\n#### **DETERMINING WINNERS.**\n\nThe following provision supersedes General Rules Section 9 below: \"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.\"\n\nThe Competition Sponsor reserves the right to employ supportive means for verifying that Participants have not violated any Competition Requirements or for determining winners, including but not limited to visual inspection of competition output files or Submissions, including source code.\"\n\n#### **COMPETITION ENTRY.**\n\nThe following provision is added to General Rules Section 5 below: \"Competition Sponsor reserves the right to disqualify any entrant who is found to be employing dishonest, non-generative methods to create a Submission, including using non-approved external datasets as their Submission.\" \n\n#### **PUBLICITY.**\n\nThe following provision supersedes General Rules Section 15 below: \"By entering this competition, you agree that the Competition Sponsor and its affiliates may use your name, likeness, and `images.zip` Submission output file for advertising and promotional purposes without additional compensation, unless prohibited by law.\"\n\n#### **EXTERNAL DATA**\n\nThe following provision supersedes General Rules Section 7.C. below: “You may not use data other than the Competition Data to develop and test your models and Submissions. The Competition Sponsor reserves the right to disqualify any participant who Competition Sponsor discovers has used or attempted to use data other than the Competition Data in connection with the Competition, or who uses the Competition Data other than as permitted by the Competition Website and these Rules. ”\n\n\n### B. GENERAL COMPETITION RULES\n#### **1.\tBINDING AGREEMENT.** \n\nTo enter the Competition, you must agree to these Official Competition Rules, which incorporate by reference the provisions and content of the Competition Website and any Specific Competition Rules above (collectively, the \"Rules\"). Please read these Rules carefully before entry to ensure you understand and agree. You further agree that submission of an entry in the Competition constitutes agreement to these Rules. You may not submit an entry to the Competition and are not eligible to receive the prizes associated with this Competition (“Prizes”) unless you agree to these Rules. These Rules form a binding legal agreement between you and the Competition Sponsor with respect to the Competition.\n\n#### **2.\tELIGIBILITY.** \n\nA. To be eligible to enter the Competition, you must be:\n\t(i) a registered account holder at Kaggle.com; \n\t(ii) 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\t(iii) not a resident of Crimea, Cuba, Iran, Syria, North Korea, or Sudan; and\n\t(iv) not a person or representative of an entity under U.S. export controls or sanctions (see [https://www.treasury.gov/resource-center/sanctions/Programs/Pages/Programs.aspx][1]).\n\nIf 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 are an employee. If you are acting within the scope of your employment, as an employee, contractor, or agent of another party, you warrant that such party 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\nThe Competition Sponsor 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\nB. Unless otherwise stated in the Specific Competition Rules above or prohibited by internal policies of the Competition Entities, employees, interns, contractors, officers and directors of Competition Entities may enter and participate in the Competition, but are not eligible to win any Prizes. \"Competition Entities\" means the Competition Sponsor, Kaggle Inc., and their respective parent companies, subsidiaries and affiliates. If you are such a participant from a Competition Entity, you are subject to all applicable internal policies of your employer with respect to your participation.\n\n#### **3.\tSPONSOR AND HOSTING PLATFORM.** \n\nThe Competition is sponsored by Competition Sponsor named above. The Competition is hosted 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 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\n#### **4.\tCOMPETITION PERIOD.** \n\nFor the purposes of Prizes, the Competition will run from the Start Date and time to the End Date and time (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\n#### **5.\tCOMPETITION ENTRY.** \n\nNO PURCHASE NECESSARY TO ENTER OR WIN. To enter the Competition, you must register on the Competition Website prior to the Entry Deadline, 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\nSubmissions may not use or incorporate information from hand labeling or human prediction of the validation dataset or test data records.\n\nIf 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\nSubmissions 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\n#### **6.\tINDIVIDUALS AND TEAMS.** \n\nA. *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\nB. *Teams*. If permitted under the Competition Website guidelines, multiple individuals may collaborate as a team (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\nC. *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\n#### **7.\tCOMPETITION DATA.** \n\n\"Competition Data\" means 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 made available to participants. \n\nA. *Data Access and Use*. You may access and use the Competition Data for non-commercial purposes only, including for participating in the Competition and on Kaggle.com forums, and for academic research and education. The Competition Sponsor reserves the right to disqualify any participant who uses the Competition Data other than as permitted by the Competition Website and these Rules.\n\nThe Competition Data is also subject to the terms and conditions of the following dataset: [http://vision.stanford.edu/aditya86/ImageNetDogs/](http://vision.stanford.edu/aditya86/ImageNetDogs/). 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\nB. *Data Security*. You agree to use reasonable and suitable measures to prevent persons who have not formally agreed to these Rules from gaining access to the Competition Data. You agree not to transmit, duplicate, publish, redistribute or otherwise provide or make available the Competition Data to any party not participating in the Competition. You agree to notify Kaggle immediately upon learning of any possible unauthorized transmission of or unauthorized access to the Competition Data and agree to work with Kaggle to rectify any unauthorized transmission or access.\n\nC. *External Data*. You may use data other than the Competition Data (“External Data”) to develop and test your models and Submissions. However, you will (i) ensure the External Data is available to use by all participants of the competition for purposes of the competition at no cost to the other participants and (ii) post such access to the External Data for the participants to the official competition forum prior to the Entry Deadline.\n\n#### **8.\tSUBMISSION CODE REQUIREMENTS.**\n\nA. *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\nB. *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 kernels 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\nC. *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.\n\n#### **9.\tDETERMINING WINNERS.** \n\nEach 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\nIn 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\n#### **10.\tNOTIFICATION OF WINNERS & DISQUALIFICATION.**\n\nThe potential winner(s) will be notified by email. \n \nIf 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 End Date 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 \nIn 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 \nCompetition 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 or Kaggle.\n \nA 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 \nThe final leaderboard list will be publicly displayed at Kaggle.com. Determinations of Competition Sponsor are final and binding.\n\n#### **11.\tWINNERS OBLIGATIONS.**\n\nAs a condition to being awarded a Prize, a Prize winner must fulfill the following obligations:\n\n(a) 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;\n\n(b) 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\n(c) sign and return all Prize acceptance documents as may be required by Competition Sponsor or Kaggle, including without limitation: (i) eligibility certifications; (ii) licenses, releases and other agreements required under the Rules; and (iii) 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\n#### **12.\tPRIZES.** \n\nPrize(s) are as described 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\nAll 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\nA potential winner may decline to be nominated as a Competition winner in accordance with Section 10.\n\nPotential 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 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\nYou are not eligible to receive any Prize if you do not meet the Eligibility requirements in Section 2 above.\n\nIf a Team wins a monetary Prize, the Prize money will be allocated in even shares between the eligible Team members, unless the Team unanimously opts for a different Prize split and notifies Kaggle before Prizes are issued.\n\n#### **13.\tTAXES.** \n\nALL 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 Competition Sponsor may select an alternative potential winner. Any winners who are U.S. residents will receive an IRS Form-1099 in the amount of their Prize.\n\n#### **14.\tGENERAL CONDITIONS.**  \n\nAll federal, state, provincial and local laws and regulations apply.   \n\n#### **15.\tPUBLICITY.**\n\nBy accepting a Prize, you agree that Competition Sponsor, Kaggle and its affiliates may use your name and likeness for advertising and promotional purposes without additional compensation, unless prohibited by law.\n\n#### **16.\tPRIVACY.**\n\nYou acknowledge and agree that Competition Sponsor 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 Support at <[www.kaggle.com/contact][7]>.\n\n As part of Competition Sponsor performing this contract between you and the Competition Sponsor, Kaggle will transfer your Personal Information to Competition Sponsor, which acts as an independent controller with regard to this Personal Information. As a controller of such Personal Information, Competition Sponsor agrees to comply with all U.S. and foreign data protection obligations with regard to your 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\n#### **17.\tWARRANTY, INDEMNITY AND RELEASE.** \n\nYou 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 U.S. or foreign state or federal law.\n\nTo 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 U.S. or foreign state or federal law; (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\nYou 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\n#### **18.\tINTERNET.** \n\nCompetition 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\n#### **19.\tRIGHT TO CANCEL, MODIFY OR DISQUALIFY.**\n\nIf 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, 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\n#### **20.\tNOT AN OFFER OR CONTRACT OF EMPLOYMENT.**\n\nUnder 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 Competition Sponsor or 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 Competition Sponsor or any of the Competition Entities by your acceptance of these Rules or your entry of your Submission.\n\n#### **21.\tGOVERNING LAW.** \n\nUnless 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 Santa Clara County, California, USA. The parties 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\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",
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      "content": "The only eligible dataset to use in this competition is the [Stanford Dogs Dataset](http://vision.stanford.edu/aditya86/ImageNetDogs/).\n\n> **Important Warning**: This competition has an experimental format and submission style (images as submission). Competitors **must** use generative methods to create their submission images and are not permitted to make submissions that include any images already classified as dogs or altered versions of such images. \n\n> To enforce and prevent cheating, we reserve the right to: (a) Visually inspect all participants' submitted images, (b) review any submitted source code, (c) use these reviews to identify violators or determine winners, and (d) disqualify participants from the competition who are found in violation. This is also specified in the [competition's rules](https://www.kaggle.com/c/generative-dog-images/overview)\n\n## Files\n\n*   **all-dogs.zip** - All dog images contained in the [Stanford Dogs Dataset](http://vision.stanford.edu/aditya86/ImageNetDogs/)\n\n* **Annotations.zip** - Class labels, Bounding boxes\n\n## Submission Format\n\n* Your kernel's output must be called `images.zip` and contain 10,000 images sized 64x64. Review the [Overview Page](https://www.kaggle.com/c/generative-dog-images/overview) for more details.",
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      "content": "**This competition is closed and no longer accepting submissions. The private leaderboard has been finalized as of 8/28/2019.**\n\n> **Important Warning**: This competition has an experimental format and submission style (images as submission). Competitors **must** use generative methods to create their submission images and are not permitted to make submissions that include any images already classified as dogs or altered versions of such images. \n\n> To enforce and prevent cheating, we reserve the right to: (a) Visually inspect all participants' submitted images, (b) review any submitted source code, (c) use these reviews to identify violators or determine winners, and (d) disqualify participants from the competition who are found in violation. This is also specified in the [competition's rules](https://www.kaggle.com/c/generative-dog-images/overview)\n\n\nUse your training skills to create images, rather than identify them. You’ll be using GANs, which are at the creative frontier of machine learning. You might think of GANs as robot artists in a sense—able to create eerily lifelike images, and even digital worlds.\n\n> *\"You might not think that programmers are artists, but programming is an extremely creative profession. It’s logic-based creativity. ''* -\n> John Romero\n\nA generative adversarial network (GAN) is a class of machine learning system invented by Ian Goodfellow in 2014. Two neural networks compete with each other in a game. Given a training set, this technique learns to generate new data with the same statistics as the training set.\n\nIn this competition, you’ll be training generative models to create images of dogs. Only this time… there’s no ground truth data for you to predict. Here, you’ll submit the images and be scored based on how well those images are classified as dogs from pre-trained neural networks.  Take these images, for example. Can you tell which are real vs. generated?\n\n![dogs][1]\n\n*Trick question; they are all generated!*\n\nWhy dogs? We chose dogs because, well, who doesn’t love looking at photos of adorable pups? Moreover, dogs can be classified into many sub-categories (breed, color, size), making them ideal candidates for image generation.\n\nGenerative methods (in particular, GANs) are currently used in various places on Kaggle for data augmentation. Their potential is vast; they can learn to mimic any distribution of data across any domain: photographs, drawings, music, and prose. If successful, not only will you help advance the state of the art in generative image creation, but you’ll enable us to create more experiments across a variety of domains in the future.\n\n> **This is a Kernels-only competition. Refer to [Kernels Requirements](https://www.kaggle.com/c/generative-dog-images/overview/Kernels-Requirements) for details.**\n\n\n  [1]: https://storage.googleapis.com/kaggle-media/competitions/GAN/dogs.png",
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      "name": "Evaluation",
      "content": "> **Important Warning**: This competition has an experimental format and submission style (images as submission). Competitors **must** use generative methods to create their submission images and are not permitted to make submissions that include any images already classified as dogs or altered versions of such images. \n\n> To enforce and prevent cheating, we reserve the right to: (a) Visually inspect all participants' submitted images, (b) review any submitted source code, (c) use these reviews to identify violators or determine winners, and (d) disqualify participants from the competition who are found in violation. This is also specified in the [competition's rules](https://www.kaggle.com/c/generative-dog-images/overview)\n\n\n\n## MiFID\n\nSubmissions are evaluated on MiFID (Memorization-informed Fréchet Inception Distance), which is a modification from [Fréchet Inception Distance (FID)](https://arxiv.org/abs/1706.08500). \n\nThe smaller MiFID is, the better your generated images are.  \n\n\n\n## What is FID?\nOriginally published [here](https://arxiv.org/abs/1706.08500) ([github](https://github.com/bioinf-jku/TTUR)), FID, along with [Inception Score (IS)](https://arxiv.org/abs/1606.03498), are both commonly used in recent publications as the standard for evaluation methods of GANs. \n\nIn FID, we use the Inception network to extract features from an intermediate layer. Then we model the data distribution for these features using a multivariate Gaussian distribution with mean µ and covariance Σ. The FID between the real images \\\\(r\\\\) and generated images \\\\(g\\\\) is computed as:\n\n\\\\[\n\\text{FID} = ||\\mu\\_r - \\mu\\_g||^2 + \\text{Tr} (\\Sigma\\_r + \\Sigma\\_g - 2 (\\Sigma\\_r \\Sigma\\_g)^{1/2})\n\\\\]\n\nwhere \\\\(Tr\\\\) sums up all the diagonal elements. FID is calculated by computing the Fréchet distance between two Gaussians fitted to feature representations of the Inception network.\n\n\n\n## What is MiFID (Memorization-informed FID)?\nIn addition to FID, Kaggle takes training sample memorization into account. \n\nThe memorization distance is defined as the minimum cosine distance of all training samples in the feature space, averaged across all user generated image samples. This distance is thresholded, and it's assigned to 1.0 if the distance exceeds a pre-defined epsilon. \n\nIn mathematical form:\n\n\\\\[d\\_{ij} = 1 - cos(f\\_{gi}, f\\_{rj}) = 1 - \\frac{f\\_{gi} \\cdot f\\_{rj}}{|f\\_{gi}| |f\\_{rj}|}\\\\] \n\nwhere \\\\(f\\_g\\\\) and \\\\(f\\_r\\\\) represent the generated/real images in feature space (defined in pre-trained networks); and \\\\(f\\_{gi}\\\\) and \\\\(f\\_{rj}\\\\) represent the \\\\(i^{th}\\\\) and \\\\(j^{th}\\\\) vectors of \\\\(f\\_g\\\\) and \\\\(f\\_r\\\\), respectively. \n\n\n\\\\[d = \\frac{1}{N} \\sum\\_{i} \\min\\_j d\\_{ij} \\\\]\n\ndefines the minimum distance of a certain generated image (\\\\(i\\\\)) across all real images ((\\\\(j\\\\)), then averaged across all the generated images. \n\n![enter image description here][1]\ndefines the threshold of the weight only applies when the (\\\\(d\\\\)) is below a certain empirically determined threshold. \n\nFinally, this memorization term is applied to the FID:\n\\\\[ MiFID = FID \\cdot \\frac{1}{d\\_{thr}}\\\\]\n\n## Kaggle's workflow calculating MiFID for public and private scores\nKaggle calculates public and private MiFID scores with the same code, but with different pre-trained models and evaluation images. The public pre-train neural network is [Inception](http://download.tensorflow.org/models/image/imagenet/inception-2015-12-05.tgz), and the public images used for evaluation are the ImageNet Dogs (all 120 breeds). **We will not be sharing what private model or dataset is used for the private MiFID score.**\n\nA demo of our MiFID evaluation code can be seen [here](https://www.kaggle.com/wendykan/demo-mifid-metric-for-dog-image-generation-comp).\n\nOur workflow of computing the public/private MiFID is demonstrated below:\n\n![enter image description here][2]\n\n\n## Submission File\nYou are going to generate 10,000 images that are in `PNG` format. Their sizes should be 64x64x3 (RGB). Then you need to zip those images and your output from your Kernel should only have **ONE** output file named `images.zip`. \n\nPlease note that Kaggle Kernels has a number of output files capped at 500. We highly encourage you to either directly write to a `zip` file as you generate images, or create a folder at `../tmp` as your temporary directory. \n\n\n  [1]: https://storage.googleapis.com/kaggle-media/competitions/GAN/latex-img-150.png\n  [2]: https://storage.googleapis.com/kaggle-media/competitions/GAN/Kaggle%20GAN%20Diagram%20(3).png",
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    {
      "name": "Timeline",
      "content": "* **August 14, 2019**&nbsp;- Final submission deadline. Hey \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.",
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      "name": "Prizes",
      "content": "\n\n* 1st Place - $2,000\n* 2nd Place - $2,000\n* 3rd Place - $2,000\n* 4th Place - $2,000\n* 5th Place - $2,000\n\n> **Important Warning**: This competition has an experimental format and submission style (images as submission). Competitors **must** use generative methods to create their submission images and are not permitted to make submissions that include any images already classified as dogs or altered versions of such images. \n\n> To enforce and prevent cheating, we reserve the right to: (a) Visually inspect all participants' submitted images, (b) review any submitted source code, (c) use these reviews to identify violators or determine winners, and (d) disqualify participants from the competition who are found in violation. This is also specified in the [competition's rules](https://www.kaggle.com/c/generative-dog-images/overview)",
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      "name": "Kernels Requirements",
      "content": "\n![Kerneler](https://storage.googleapis.com/kaggle-media/competitions/general/Kerneler-white-desc2_transparent.png)\n### This is a Kernels-only competition\n \nSubmissions to this competition must be made through Kernels. \nIn order for the \"Submit to Competition\" button on the kernel's \"Output\" tab to be available after a commit, the following conditions must be met:\n\n- CPU Kernel &lt;= 9 hours run-time with 16 GB RAM globally available\n\n- GPU Kernel &lt;= 9 hours run-time with 13 GB RAM globally available (Turn on via kernel \"Settings\" menu)\n\n- No TPU support in Kernels, currently\n\n- No internet access enabled\n\n- No external data can be added as a data source\n\n- No use of other kernels (or utility scripts) as inputs into your submission kernel\n\n- No custom packages enabled in kernels\n",
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      "name": "Getting Started",
      "content": "> **Important Warning**: This competition has an experimental format and submission style (images as submission). Competitors **must** use generative methods to create their submission images and are not permitted to make submissions that include any images already classified as dogs or altered versions of such images. \n\n> To enforce and prevent cheating, we reserve the right to: (a) Visually inspect all participants' submitted images, (b) review any submitted source code, (c) use these reviews to identify violators or determine winners, and (d) disqualify participants from the competition who are found in violation. This is also specified in the [competition's rules](https://www.kaggle.com/c/generative-dog-images/overview)\n\n\n\n\n\n### How to Make a Submission\n\n 1. Click on \"New Kernel\" from either the Kernels Page or \"Submit Predictions\" flow.\n \n 2. This will fire up a **Kaggle kernel**, our cloud-hosted notebook/script platform. You must submit your code through this environment.\n\n 3. The \"Data\" page and Kernels environment will contain the eligible external dataset to use (Stanford Dogs Dataset). No other external data can be introduced.\n\n 4. Your kernel must run within the defined [Kernels Requirements](https://www.kaggle.com/c/generative-dog-images/overview/kernels-requirements) constraints.\n\n 5. Your kernel's output file must be named `images.zip` and contain 10,000 64x64 images. Also refer to the [Evaluation](https://www.kaggle.com/c/generative-dog-images/overview/evaluation) page for details of how the submission is evaluated.\n\n 6. **Commit** your kernel. It may take some time for the kernel to run, but you can close the browser while it runs and return to it later.\n\n 7. If the Commit is successful and your code has generated an `images.zip` file, it will be shown in the kernel's **Output** tab.\n\n 8. On the **Output** tab, click \"Submit to Competition.\" If an Output has been generated but the button is not available, then your kernel has enabled some setting that is not permitted (i.e. external data sources, custom docker images, internet access). View the [Kernels Requirements](https://www.kaggle.com/c/generative-dog-images/overview/kernels-requirements) page for the detailed constraints.\n\n 9. Your submission may take some time to process. Once it kicks off, you can close your browser and return to see your standing on the Public Leaderboard when it finishes! The submission will not re-run your original kernel. It will be running your `images.zip` file synchronously through both the public and private metrics.\n\n 10. The Private Leaderboard is revealed at the end of the competition. At this time, you will see final scores calculated against the private metric. You can expect these scores to be intentionally different. Details can be reviewed on the [Evaluation page](https://www.kaggle.com/c/generative-dog-images/overview/evaluation).\n\n### More Resources\n - Check out the [starter submission kernel](https://www.kaggle.com/wendykan/gan-dogs-starter) Wendy published for of this competition. This is a basic DCGAN submission generating the necessary `images.zip` output format.\n\n - If you're curious about how the public leaderboard version of the metric is calculated, Wendy has also created a [kernel demo of the public metric](https://www.kaggle.com/wendykan/demo-mifid-metric-for-dog-image-generation-comp).",
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