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chen_yang

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Behavioral Representation Learning from Animal Poses.

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graded 185070
graded 185066
graded 185033

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graded 132203
graded 132183
graded 132154

Detect Multi-Animal Behaviors from a large, hand-labeled dataset.

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graded 132203
graded 132183
graded 132154

Round 1 - Completed

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graded 177077
graded 177072
graded 177016

Round 2 - Active | Claim AWS Credits by beating the baseline

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graded 185070
graded 185066
graded 185033
Participant Rating
andrew_yang 0
Participant Rating

Multi Agent Behavior Challenge 2022

[Round-2 Update] $400 AWS Credits Per Team - How To Win & Claim Them

Over 2 years ago

Team 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..

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