OpenMMLab Pose Estimation Toolbox and Benchmark.
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Updated
Aug 4, 2025 - Python
OpenMMLab Pose Estimation Toolbox and Benchmark.
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
A deep learning framework for multi-animal pose tracking.
a toolkit for pose estimation using deep learning
WormPose: Image synthesis and convolutional networks for pose estimation in C. elegans
Synthetic animal image dataset for pose and shape reconstruction.
JARVIS Markerless 3D Motion Capture Pytorch Library
The official repo for the extension of [NeurIPS'22] "APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking": https://github.com/pandorgan/APT-36K
Towards Multi-Modal Animal Pose Estimation: An In-Depth Analysis
DeepGraphPose
3D Markerless Tracking Toolbox
AcquisitionTool to record multi-camera recordings for the JARVIS 3D Markerless Pose Estimation Toolbox
Multi-cow tracking, identification, instant ID learning/unlearning system. Operates on videos or images. Datasets, model weights, and other tools are included. <cattle-recognition, cattle-tracking>
Animal Body Condition Score (BCS) Classification using deep learning and traditional ML approaches. Classifies animals into weight categories (Underweight/Healthy/Overweight) based on body length measurements from AP-10K animal pose dataset keypoints.
Deep learning from videography as a tool for measuring infection in poultry
PetLens: ViT 품종 분석과 CLIP 의미 기반 검색을 연결한 반려동물 멀티모달 웹 서비스 - 수도권 ICT 이노베이션스퀘어 AI 멀티모달 과정
Semi-supervised animal pose estimation technique that leverages spatiotemporal information from videos, resulting in fewer required training labels.
Deep learning-based animal pose estimation from video using DigiDogs dataset (PyTorch, OpenCV, Kaggle GPU)
Using Machine Learning to predict the outcome of a reward competition from body parts' location in mouse behavioral data
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