evo-biomech/replicAnt
replicAnt - generating annotated images of animals in complex environments with Unreal Engine
This tool helps researchers and scientists generate large, richly annotated image datasets of animals in diverse, realistic 3D environments. It takes detailed 3D models of animals as input and produces synthetic images with corresponding annotations like ID, depth, and pose. The generated datasets are ideal for training computer vision models for tasks like animal detection, tracking, and pose estimation in ecological or behavioral studies.
Use this if you need vast amounts of varied, annotated animal image data to train machine learning models, but gathering real-world images is too time-consuming, expensive, or impractical.
Not ideal if you only need a small dataset or if your primary goal is to analyze existing real-world footage without requiring synthetic data generation.
Stars
67
Forks
9
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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