Google Universal Image Embedding Competition from Kaggle and Prize Pool of $50.000

Kaggle is offering Google Universal Image Embedding competition – Create image representations that work across many visual domains.

This year's competition is structured in a representation learning format: you will create a model that extracts a feature embedding for the images and submit the model via Kaggle Notebooks. Kaggle will run your model on a held-out test set, perform a k-nearest-neighbors lookup, and score the resulting embedding quality. Both Tensorflow and PyTorch models are supported.

TOTAL PRIZES AVAILABLE: $50,000:

1. First Prize: $15,000
2. Second Prize: $10,000
3. Third Prize: $8,000
4. Fourth Prize: $7,000
5. Fifth Prize: $5,000
6. 6th Place - $5,000
7. Note: The winners will additionally be required to provide a detailed description of their method in order to claim the prize (minimum of 2 pages double-column) by October 17, 2022, which is one week after the competition has concluded.

• Competitions are open to residents of the United States and worldwide, except that if you are a resident of Crimea, Cuba, Iran, Syria and North Korea or are subject to U.S. export controls or sanctions, you may not enter the Competition.
• Submissions to this competition must be made through Notebooks. In order for the "Submit" button to be active after a commit, the following conditions must be met:

1. CPU Notebook <= 9 hours run-time
2. GPU Notebook <= 9 hours run-time
3. Freely & publicly available external data is allowed, including pre-trained models
4. Submission file must contain a model and be named submission.zip

• Please see the Code Competition FAQ for more information on how to submit. And review the code debugging doc if you are encountering submission errors.
• 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 2 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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