ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION 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.
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 five (5).
   - b. Teams must register on Kaggle and complete the provided team registration form.
2. SUBMISSION LIMITS

   - a. Each team may submit a maximum of five (5) submissions per track.

   - b. Only the last submission made by each team per track will be considered for final scoring.

3. COMPETITION TIMELINE

   - a. Submission deadline: 13 Jul 2025

   - b. Any submissions received after the Final Submission Deadline will not be considered.

4. WINNER OBLIGATIONS

   - a. Winners are required to submit:

      A technical report detailing their approach, including methods, models, training details, and results.

      A poster summarizing the technical approach and results, which must be presented at the workshop.

5. EXTERNAL DATA AND TOOLS

   - a. External Data:

      Participants may not use external data that overlaps with the hidden test clips.

      Any external data used must be publicly available and equally accessible at no cost to all Participants.