{ "fetched_at": "2026-10-19T06:34:58Z", "source_url": "https://www.kaggle.com/competitions/ada-image-recognition-fiber/data", "pages": [ { "name": "data-description", "content": "The dataset contains 1435 images split in train and test.\nThe annotations are provided in the YOLO format. All pictures having annotations have a corresponding *.txt* file containing the coordinates of these annotations. Note that pictures with no annotation don't have a corresponding *.txt* file. Note that no *.yaml* file is provided so that you can make your own train/val split.\n\n```\n/\n images/\n train/\n .\n .\n ...\n test/\n .\n .\n ...\n labels/\n train/\n .txt\n .txt\n ...\n```\nThe *.txt* files contain:\n- one row per object: \n- format: class (starting from 0), x_center, y_center, width, height\n- Box coordinates are in normalized xywh format (from 0 - 1).\n\nHere is the number of available annotations:\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2322250%2Fecf7a7d7ae1ec992e36b5a15b0dfb120%2Fannotations.png?generation=1670401300674788&alt=media)\n\nThe annotations are given under the form of segmentation instances, as in the following example:\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2322250%2F2088543297fe92339f994c72020051fa%2Fexample_annotated.PNG?generation=1670401337711180&alt=media)\n\nThere are different types of views in the dataset. Note that it's not always possible to see all the components in the image. In some cases, no component is visible on the image, as illustrated below: \n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F1673559%2F560d0742c4d5c2c657dc7eb6f91c742c%2Fvisibility_cases.PNG?generation=1670428750494133&alt=media)\n\nFinally, there might be some inconsistencies in the dataset, such as the missing left rubber and tie-wrap in the following example. An iterative approach to dealing with labeling mistakes can maybe be considered.\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-forum-message-attachments/o/inbox%2F2322250%2Fdb2f5c762da0a7de0f8ee651d7f04520%2Fmistake.png?generation=1670401388800488&alt=media)\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Description", "content": "# Goal\n\nThe goal of this challenge is to provide a realistic computer vision problem to participants interested in getting hands-on experience in this field. This challenge is the perfect opportunity to face some of the typical steps of a computer vision problem. Working on this case will let you go from theory to practice, learn new things and have fun in the process.\n\n\n# Description\n\nAs you might know, Proximus is actively rolling out fiber across Belgium. This requires the installation of many new devices. While this rollout is happening at a high speed, it is not at the cost of quality. Indeed, as manual quality assessment cannot keep up with the increasing amount of new fiber connections, Proximus turned to computer vision to make sure that every installation is up to our quality standards.\n\nIn this challenge, we focus on the installation of a hardware component called DTP-F. Technicians currently have to take several pictures each time a DTP-F is installed. The requirements listed below must be verified on the picture for a DTP-F installation to be considered as compliant:\n\n1. Presence of 2 fixations screws\n2. Presence of 2 tie-wraps around the cable\n3. Presence of 2 rubbers\n4. Presence of 2 plastic covers\n5. Presence of 2 pieces of foam\n\nYou can find here below an example picture.\n\n![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F2322250%2F3675db2e2f4712866d660a4d80a9c63e%2Fexample.PNG?generation=1670401199640497&alt=media)\n", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "rules", "content": "Privacy notice :[\nhttps://www.proximus.be/en/id_cr_privacy_policy/personal/orphans/privacy-policy.html](url)\n\n\nPresentation of the Competition \n\nProximus Ada is actively rolling out Fiber across Belgium. This requires the installation of many new devices. Proximus Ada turned to computer vision to make sure every installation is up to our quality standards. One of the key elements of a new Fiber connection is the DTP-F box, for which the installation must meet strict compliancy rules. Therefore, technicians must take pictures after each installation to verify the presence of key components such as screws or plastic covers. The challenge proposed on Kaggle is to build a model that can help technicians to decide whether their installation is correct or not. \n\n*One account per participant *\n\nYou cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts. \n\n*Team Limits *\n\nThe Participants can enter the Challenge individually or by team. The maximum team size is 10. \n\n*Submission Limits*\n\nThe number of submissions is unlimited. \n\nYou may select up to 2 final submissions for judging. \n\n*Competition Timeline *\n\nCompetition 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\n*Prizes *\n\nThere are no prizes. The three best performers will be invited to present their work during a debriefing session, assisted by data scientists. \n\nCOMPETITION-SPECIFIC TERMS \n\nCOMPETITION TITLE: Image recognition for Fiber Box installation\n\nCOMPETITION SPONSOR: Proximus Ada \n\nCOMPETITION SPONSOR ADDRESS: Boulevard du Roi Albert II, 27 - B-1030 Brussels. \n\nCOMPETITION WEBSITE: https://www.proximus-ada.com/ \n\nDATA ACCESS AND USE: Non-Commercial Purposes & Academic Research \n\n\n*ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULES. *\n\n*GENERAL COMPETITION RULES *\n\n*1. BINDING 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\"). You further agree that submission of an entry in the Competition constitutes agreement to these Rules. These Rules form a binding legal agreement between you and the Competition Sponsor with respect to the Competition. \n\n*2. ELIGIBILITY. *\n\nA. To be eligible to enter the Competition, you must be: \n\n(i) a registered account holder at Kaggle.com; \n\n(ii) aged 18 years old and above; \n\n(iii) With official residence in Belgium. \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\n*3. SPONSOR 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 in addition to these Rules. \n\n \n*4. COMPETITION PERIOD. *\n\nThe Competition will run from the Start Date and time to the Final Submission Deadline (such duration the “Competition Period”). The Competition Timeline is subject to change, and Competition Sponsor may introduce additional hurdle deadlines during the Competition Period. \n\n\n*5. COMPETITION 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 labelling or human prediction of the validation dataset or test data records. \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. INDIVIDUALS 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\n*7. COMPETITION 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. \n\nCompetition Use and Non-Commercial & Academic Research: 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\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 Submissions. However, you will ensure the External Data is 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. The ability to use External Data under this Section 7.C (External Data) does not limit your other obligations under these Competition Rules, including but not limited to Section 11 (Winners Obligations). \n\n\n*8. SUBMISSION 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 notebooks/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 a permissive (non-copyleft)Open Source Initiative-approved license (see www.opensource.org) 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 a permissive (non-copyleft) 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\n\n*9. DETERMINING WINNERS. * \n\nEach Submission will be scored and ranked. The winners are selected based on the merits of the data science models submitted (highest similarity and reliability rate). \n\n\n*10. NOTIFICATION 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 Final Submission Deadline that the potential winner does not want to be nominated as a winner. \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. WINNERS OBLIGATIONS. *\n\nAs a condition to being selected as a winner, a 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, must be capable of generating the winning Submission, and contain a description of resources required to build and/or run the executable code successfully. 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\n(b) sign and return all Prize acceptance documents as may be required by Competition Sponsor or Kaggle. \n\n\n*12. GENERAL CONDITIONS.   *\n\nAll federal, state, provincial and local laws and regulations apply. \n\n*13. PRIVACY. *\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 , 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 . \n\nPersonal Information will be used by the Competition Sponsor to contact participants and Competition \nwinner(s). \n\nAs 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 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. Competition Sponsor’s privacy policy with detailed information on how the Competition Sponsor collect, process and store personal data and assure compliance with data protection laws and regulations, can be found at Competition Sponsor’s privacy policy can be found at https://www.proximus.be/en/id_cr_privacy_policy/personal/orphans/privacy-policy.html](url)\n\n \n*14. WARRANTY, INDEMNITY AND RELEASE. *\n\nYou represent and warrant that you are of legal age to form a binding contract. 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. 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 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 law; and (d) claims brought by persons or entities other than the parties to these Rules arising from or related to your involvement with the Competition. \n\nYou hereby release Competition Entities from any liability associated with any error in the collection, processing, or retention of any Submission. \n\n*15. INTERNET. *\n\nCompetition Entities are not responsible for any malfunction of the Competition Website or any late, lost, damaged, misdirected, incomplete, illegible, not deliverable, 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*16. RIGHT 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*17. GOVERNING LAW. *\n\nUnless otherwise provided in the Competition Specific Rules above, all claims arising out of or relating to the Competition or these Rules will be governed by Belgian law, excluding its conflict of laws rules, and any disputes will be subject to the exclusive jurisdiction of the courts of Belgian. If you accepted the Competition outside of Belgium, you are responsible for compliance with all local laws. \n\nIf 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 ", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "Evaluation", "content": "# Evaluation\nIn order to assess whether a certain image is compliant, your model/approach independent of its architecture should answer the following questions/sub-tasks:\n\n- Are there 2 screws visible in the image?\n- Are there 2 tie-wraps visible in the image?\n- Are there 2 rubbers visible in the image?\n- Are there 2 plastic covers visible in the image?\n- Are there 2 foams visible in the image?\n\nAs [Kaggle ](https://www.kaggle.com/) doesn't support custom metrics, we couldn't choose several metrics to indicate the performance of your model/approach in each category. Eventually, all the predictions are treated in the same way regardless of their sub-task. [micro-f1-score](https://en.wikipedia.org/wiki/F-score) which takes class frequency into account, is used to evaluate your model/approach. At this point, class means an outcome of `0` or `1`. \n\n# Submission File\n\nThe submission file is required to be in a CSV format. The file should contain a header with `image_id_and_sub_task` and `prediction` columns and have the following format:\n- `image_id_and_sub_task` column contains the image id and the sub-task information related to the image in `_` format.\n- `prediction` column contains `0` or `1` in case of the absence or presence of the related object, respectively.\n- **Pay attention, 5 rows related to 5 sub-tasks are required for each image.**\n \n```\nimage_id_and_sub_task,prediction\nimage_id_0_two_screws,1\nimage_id_0_two_tie_wraps,1\nimage_id_0_two_rubbers,1\nimage_id_0_two_plastic_covers,1\nimage_id_0_two_foams,1\nimage_id_1_two_screws,0\nimage_id_1_two_tie_wraps,0\nimage_id_1_two_rubbers,0\nimage_id_1_two_plastic_covers,1\nimage_id_1_two_foams,1\n...\n``` ", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false }, { "name": "About Ada", "content": "# About Proximus Ada\n\nProximus Ada is the first Belgian Center of excellence in Artificial Intelligence and Cybersecurity. \nBorn in April 2022 by the willingness of Proximus SA to gather expertise and skills in AI & CS in one company.\nOne of the pillars of Proximus Ada is to promote education, knowledge exchange and learnings with schools, universities and promote sustainable initiative that brings value to society. \n\nPlease have a look at https://www.proximus.be/en/id_Proximus-ADA/customs/proximus-ada.html", "isPublished": false, "hasIsPublished": false, "postTitle": "", "hasPostTitle": false, "mimeType": "", "hasMimeType": false } ] }