##ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULES.

**[See Section 3.18 for defined terms](rules#18.-terms)**

*The Competition named below is a skills-based competition to promote and further the field of data science. You must register via the Competition Website to enter. To 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 herein (collectively, the "Rules"). Please read these Rules carefully before entry to ensure you understand and agree. You further agree that Submission in the Competition constitutes agreement to these Rules. You may not submit to the Competition and are not eligible to receive the prizes associated with this Competition unless you agree to these Rules. These Rules form a binding legal agreement between you and the Competition Sponsor with respect to the Competition. Your competition 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.*

**You cannot sign up to Kaggle from multiple accounts and therefore you cannot enter or submit from multiple accounts.**
1. COMPETITION-SPECIFIC TERMS
1. COMPETITION TITLE
2COOOL: 2nd Challenge of Out Of Label Hazards in Autonomous Driving ICCV2025 Workshop Competition
2. COMPETITION SPONSOR
2COOOL WORKSHOP
3. COMPETITION PRIZE SPONSOR
CUIP & UTC
5. COMPETITION WEBSITE
https://www.kaggle.com/competitions/2coool
6. TOTAL PRIZES AVAILABLE: $2500
First Prize: $1500
Second Prize: $1000
7. DATA ACCESS AND USE
See section 4.


###2. COMPETITION-SPECIFIC RULES 
In addition to the provisions of the General Competition Rules below, you understand and agree to these Competition-Specific Rules required by the Competition Sponsor:

####1. TEAM LIMITS
a. The maximum Team size is fifteen (15).
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. The maximum allowed is the number of Submissions per day multiplied by the number of days the competition has been running.
####2. SUBMISSION LIMITS
a. You may submit a maximum of five (5) Submissions per day.
b. You may select up to two (1) Final Submissions for judging.
####3. COMPETITION TIMELINE
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.
####4. COMPETITION DATA

a. Data Access and Use.

1. The 2COOOL dataset is a relabeled, transformed combination of existing datasets, annotated for a the new, novel challenge of Incident Report Generation. If you reuse this dataset for any purpose, commercial, academic, or otherwise, you are required to cite the 2COOOL dataset paper (which will be released on archive) and the data sources used to source 2COOOL dataset videos, including:

-     The COOOL Dataset collected from the first COOOL Workshop - AlShami, A. K., Kalita, A., Rabinowitz, R., Lam, K., Bezbarua, R., Boult, T., & Kalita, J. (2024). Coool: Challenge of out-of-label a novel benchmark for autonomous driving. arXiv preprint arXiv:2412.05462.

-    The DADA dataset. - Jianwu Fang, Dingxin Yan, Jiahuan Qiao, Jianru Xue, Hongkai Yu: DADA: Driver Attention Prediction in Driving Accident Scenarios. IEEE Trans. Intell. Transp. Syst. 23(6): 4959-4971 (2022)

-    The NEXAR Crash Prediction Dataset. - Moura, Daniel C., and Zvitia, Orly. "Nexar Collison Dataset." Hugging Face, 2025, https://huggingface.co/datasets/nexar-ai/nexar_collision_prediction.

We impose no additional restrictions on 2COOOL dataset reuse, but note that by reusing the dataset videos, you are still bound by the terms of the original data sources including COOOL, DADA and NEXAR.

We note that the videos from the Nexar Collison Dataset are provided with the following terms:

Copyright (c) 2025 Nexar Inc.

Permission is hereby granted, free of charge, to any person obtaining a copy of this dataset (the "Dataset") and associated documentation files (the "Documentation"), to use, copy, modify, and distribute the Dataset, subject to the following conditions:

- Attribution: Proper attribution must be given to Nexar Inc. when using or sharing the Dataset. Any published work or research using the Dataset must cite its source as follows:
    Moura, Daniel C., and Zvitia, Orly. "Nexar Collison Dataset." Hugging Face, 2025, https://huggingface.co/datasets/nexar-ai/nexar_collision_prediction.
- Redistribution: Redistributions of the Dataset must retain the above copyright notice, this list of conditions, and the following disclaimers.
- No Resale: The Dataset may not be sold, sublicensed, or otherwise redistributed for profit without prior written consent from Nexar Inc.

The Dataset License is limited to applications and uses that do not violate the following ethical use restrictions:
- Malicious Systems: The Dataset may not be used to develop or train systems intended to cause harm, engage in unsafe driving, or simulate unsafe behavior.
- Deepfakes and Misinformation: Users may not use the Dataset to create manipulated media or to spread deceptive or misleading content.
- Privacy Violations: Users may not attempt to reidentify individuals, vehicles, or other entities in the Dataset through cross-referencing or other means. This includes but is not limited to unauthorized surveillance, tracking, or reverse engineering of anonymized data.
- Weaponization: The Dataset may not be used in the development, testing, or deployment of weapon systems or technology intended for combat or armed conflict.
- Exploitative Practices: Users may not exploit accident-prone regions or individuals for predatory financial purposes, such as unethical insurance practices.
- Compliance with Laws: Users must comply with all applicable local, national, and international laws when using the Dataset.

THE DATASET IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT, OR OTHERWISE, ARISING FROM, OUT OF, OR IN CONNECTION WITH THE DATASET OR THE USE OR OTHER DEALINGS IN THE DATASET.


b. Data Security.
1. 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.
####5. WINNER LICENSE 

a. Under Section 2.8 (Winners Obligations) of the General Rules 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:
1. *Non-Exclusive*: You hereby grant and will grant to Competition Sponsor and its designees a worldwide, non-exclusive, sub-licensable, transferable, fully paid-up, royalty-free, perpetual, irrevocable right to use, reproduce, distribute, create derivative works of, publicly perform, publicly display, digitally perform, make, have made, sell, offer for sale and import your Submission captions, files, and team name, in any media now known or developed in the future, for any purpose whatsoever, commercial or otherwise, without further approval by or payment to you. Your source code is not included in this license and remains yours to distribute, license, or sell as you see fit, so long as you comply with competition verification procedures specified in these rules.
b. You may be required by the 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.
####6. FINALIST TERMS:
To be classified as a top team and finalist and considered for a first or second place prize, you must agree to the following terms:

1. Competition Sponsors will make every reasonable effort to correct or resolve metric, dataset, or annotation issues before the competition end. You agree to accept the Competition Sponsors best effort to address these issues as far as they are reasonably possible. In the event that a dataset, metric, or annotation issue arises after competition end, you agree to indemnify Competition Sponsors and Competition Prize Sponsors and agree to the final determination of first and second place by Competition Sponsors. You also accept that the Competition Prize Sponsors are solely responsible for prize delivery, the Competition Sponsors merely manage the competition, metrics, data, eligibility, and final ranking.
 
####7. EXTERNAL DATA AND TOOLS

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).
b. The use of external data and models is acceptable unless specifically prohibited by the 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 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):
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 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.
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.
c. Automated Machine Learning Tools (“AMLT”)
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.
####8. ELIGIBILITY

a. Unless otherwise stated in the Competition-Specific 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.
####9. WINNER and FINALIST OBLIGATIONS

a. As a condition to being named as a finalist or top team included in the human review for first and second place prizes (based on final report scoring on the 2coool.net leaderboard), you must fulfill the following obligations:
1. Deliver to the Competition Sponsors the final model's software code as used to generate the Submission and associated documentation by the code delivery deadline specified by Competition Sponsors, to be announced near the competition end. 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. 

a. 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 Sponsors without undue expense, then instead of delivering the code for that software to the Competition Sponsors, you must identify that software, method for procuring it, and any parameters or other information necessary to replicate the winning Submission; 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 (Winners License), Section 2.8 (Winners Obligations), and Section 3.14 (Warranty, Indemnity, and Release).”
b. 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,
2. Grant to the Competition Sponsors 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;
3. Sign and return all Prize acceptance documents as may be required by Competition Sponsors 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).
c. You agree that Competition Sponsors reserve the right to disqualify anyone from finalist and/or prize consideration, if Competition Sponsors in their sole discretion believe that team, person, or organization:

1. Fails to deliver code to the Competition Sponsors by the code review deadline.

2. Delivers code which Competition Sponsors suspect did not or could not generate the submission files.

3. Generates submissions designed to exploit inherent weaknesses in the dataset or metrics rather than addressing the competition tasks.

4. Has attempted to de-anonymize video sources and use ground truth data for training, submission generation or tuning.

4. Any other violation of the implicit rules and spirit of the competition as determined by Competition Sponsors.

d. Appoint a team leader to be the single point of contact for prize delivery. Any prize awarded will be transferred to this team leader and it will be the team leader's responsibility to distribute the prize amongst the team.

####10. GOVERNING LAW

a. Unless otherwise provided in the Competition Specific Rules above, all claims arising out of or relating to these Rules will be governed by Colorado law, excluding its conflict of laws rules, and will be litigated exclusively in the Federal or State courts of Colorado Springs, Colorado, 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.