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chen_yang
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MABe Team
AIcrowd
Behavioral Representation Learning from Animal Poses.
Latest submissions
See All| graded | 185070 | ||
| graded | 185066 | ||
| graded | 185033 |
Latest submissions
See All| graded | 132203 | ||
| graded | 132183 | ||
| graded | 132154 |
Detect Multi-Animal Behaviors from a large, hand-labeled dataset.
Latest submissions
See All| graded | 132203 | ||
| graded | 132183 | ||
| graded | 132154 |
Round 2 - Active | Claim AWS Credits by beating the baseline
Latest submissions
See All| graded | 185070 | ||
| graded | 185066 | ||
| graded | 185033 |
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andrew_yang
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Multi Agent Behavior Challenge 2022
chen_yang has not provided any information yet.
[Round-2 Update] $400 AWS Credits Per Team - How To Win & Claim Them
Almost 2 years agoTeam name (if relevant): The_Yangs
Submission id (the one that beats baseline as defined above): #180806
How much did you improve over the relevant baseline score?: Mean F1 score 0.287
A brief intro about you (Us and the participants would love to know what brought you to this challenge): We are working on the Annolid(An annotation and instance segmentation-based multiple animal tracking and behavior analysis package) which is open-sourced here GitHub - healthonrails/annolid: An annotation and instance segmentation-based multiple animal tracking and behavior analysis package..