Kaggle TensorFlow - Help Protect the Great Barrier Reef Coding Competition

Kaggle is offering TensorFlow competition - Help Protect the Great Barrier Reef. The goal of this competition is to accurately identify starfish in real-time by building an object detection model trained on underwater videos of coral reefs.

Your work will help researchers identify species that are threatening Australia's Great Barrier Reef and take well-informed action to protect the reef for future generations.

TOTAL PRIZES AVAILABLE: $150,000:

Leaderboard Prizes:

• First Prize: $30,000
• Second Prize: $25,000
• Third Prize: $20,000
• Fourth Prize: $15,000
• Fifth Prize: $10,000

Tensorflow Performance Prizes:

• First Prize: $10,000
• Second Prize: $10,000
• Third Prize: $10,000
• Fourth Prize: $10,000
• Fifth Prize: $10,000

• Competitions 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.
• One account per participant: You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.
• No private sharing outside 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.
• Team Mergers: 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.
• Team Limits: The maximum team size is 5.
• Submission Limits: You may submit a maximum of 5 entries per day. You may select up to 4 final submissions for judging.
• Check more competition-specific terms here.

About Kaggle:

Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

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