SA-FARI

SA-FARI Dataset License CC-BY-NC 4.0 SA-FARI is a wildlife camera dataset collected through a collaboration between Meta and CXL. All videos and pre-processed JPEGImages can be found in cxl-public-camera-trap, which contains the following contents: sa_fari/ ├── sa_fari_test_tars/ │ ├── JPEGImages_6fps/ │ ├── videos/ ├── sa_fari_test/ │ ├── JPEGImages_6fps/ │ ├── videos/ ├── sa_fari_train_tars/ │ ├── JPEGImages_6fps/ │ ├── videos/ └── sa_fari_train/ ├── JPEGImages_6fps/ └── videos/ videos: The original full fps videos. JPEGImages_6fps: For annotation, the videos have been downsampled to 6fps. This folder contains the downsampled frames compatible with the annotation json files below. This Hugging Face dataset repo contains the annotations: datasets/facebook/SA-FARI/tree/main/ └── annotation/ ├── sa_fari_test.json ├── sa_fari_test_ext.json ├── sa_fari_train.json └── sa_fari_train_ext.json sa_fari_test.json and sa_fari_train.json Follow the same format as SA-Co/VEval sa_fari_test_ext.json and sa_fari_train_ext.json In additional to the [SA-Co/VEval] format, we added additional metadata to the following fields: videos: video_num_frames, video_fps, video_creation_datetime and location_id have been added as additional metadata to the videos field. categories: Kingdom, Phylum, Class, Order, Family, Genus and Species have been added when applicable as additional metadata to the categories field. All the SA-FARI annotation files are compatible to use the visualization notebook and offline evaluator developed in SAM 3 Github. Annotation Format A format breakdown for sa_fari_test.json and sa_fari_train.json. The format is similar to the YTVIS format. In the annotation json, e.g. sa_fari_test.json there are 5 fields: info: A dict containing the dataset info E.g. {'version': 'v1', 'date': '2025-09-24', 'description': 'SA-FARI Test'} videos A list of videos that are used in the current annotation json It contains {id, video_name, file_names, height, width, length} annotations A l