Gorilla-MOT

Gorilla-MOT Dataset Gorilla-MOT is a multi-object tracking(MOT) dataset derived from wildlife camera trap footage. This repository focuses on the MOT sequence structure with images and ground truth annotations for evaluation and reproducible experiments. Data collection was supported by the Sabine Plattner African Charities foundation, with field work led by primatologists Magdalena Bermejo and Germán Illera Basas. Dataset Summary 25 videos with dense, manual… See the full description on the dataset page:

Source: Hugging Face Hub (gorilla-watch/Gorilla-SPAC-MoT). Metadata imported from the dataset’s Hub tags.