SACo-VEval

SA-Co/VEval Dataset License each domain has its own License SA-Co/VEval - SA-V: CC-BY-NC 4.0 SA-Co/VEval - YT-Temporal-1B: CC-BY-NC 4.0 SA-Co/VEval - SmartGlasses: CC-by-4.0 SA-Co/VEval is an evaluation dataset comprising of 3 domains, each domain has a val and test split. SA-Co/VEval - SA-V: videos are from the SA-V dataset SA-Co/VEval - YT-Temporal-1B: videos are from the YT-Temporal-1B SA-Co/VEval - SmartGlasses: egocentric videos from Smart Glasses This Hugging Face dataset repo contains the following contents: datasets/facebook/SACo-VEval/tree/main/ ├── annotation/ │ ├── saco_veval_sav_test.json │ ├── saco_veval_sav_val.json │ ├── saco_veval_smartglasses_test.json │ ├── saco_veval_smartglasses_val.json │ ├── saco_veval_yt1b_test.json │ ├── saco_veval_yt1b_val.json └── media/ ├── saco_sg.tar.gz └── yt1b_start_end_time.json annotation all the GT json files media saco_sg.tar.gz: the preprocessed JPEGImages for SA-Co/VEval - SmartGlasses yt1b_start_end_time.json: the Youtube video ids and the start and end time used in SA-Co/VEval - YT-Temporal-1B More detail to prepare the complete SA-Co/VEval Dataset can be found in the SAM 3 Github. Annotation Format The format is similar to the YTVIS format. In the annotation json, e.g. saco_veval_sav_test.json there are 5 fields: info: A dict containing the dataset info E.g. {'version': 'v1', 'date': '2025-09-24', 'description': 'SA-Co/VEval SA-V 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 list of positive masklets and their related info It contains {id, segmentations, bboxes, areas, iscrowd, video_id, height, width, category_id, noun_phrase} video_id should match to the videos - id field above category_id should match to the categories - id field below segmentations is a list of RLE categories A globally used noun phrase id map, which is true across all 3 domains. It contains {id, name} name is the noun phrase video_n