Model Card for UniformerV2
UniformerV2 is a large transformer-based model trained on a binary classification task. Specifically, it is trained to detect whether the input video contains a chimpanzee(s) exhibiting a reaction to the presence of a camera trap.
Model Details
Model Description
UniformerV2 is a large transformer-based model trained on a binary classification task. Specifically, it is trained to detect whether the input video contains a chimpanzee(s) exhibiting a reaction to the presence of a camera trap. As the dataset heavily favours videos exhibiting no reaction to the camera, we employ a class-balanced focal loss to address the class imbalance.
- Developed by: Otto Brookes, Christophe Boesch, Hjalmar S. Kühl, Majid Mirmehdi, Tilo Burghardt
- Model type: Vision Transformer, UniformerV2
- License: MIT
Training Details
Training Data
It is trained on camera trap video footage from 15 different countries in Africa as part of the The Pan African Programme: The Cultured Chimpanzee.
Results
We use mean average precision to evaluate models
| Dataset | Model | Loss | mAP (%) |
|---|---|---|---|
| PanAf | Uniformer | CB Focal | 87.82% |