bdager/CHIRLA
Dataset Card for CHIRLA CHIRLA (Comprehensive High-resolution Identification and Re-identification for Large-scale Analysis) is a long-term, multi-camera person Re-Identification (Re-ID) and tracking dataset. It spans 7 months, 7 cameras, 22 identities, and ~1M identity-annotated bounding boxes across ~596k frames, captured in connected indoor environments. Dataset Details Dataset Description CHIRLA targets long-term appearance change (e.g.… See the full description on the dataset page: https://huggingface.co/datasets/bdager/CHIRLA.
| Author / organization | bdager |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 447 (as reported by Hugging Face) |
| Likes | 8 |
| Created | 15 September 2025 |
| Last updated at source | 2 October 2025 |
Recent changes
- 16 Oct 2026 Description: Dataset Card for CHIRLA CHIRLA (Comprehensive High-resolution Identification and Re-identification for Large-scale Analysis) is a long-term, multi-camera person Re-Identification (Re-ID) and tracking dataset. It spans 7 months, 7 cameras, 2 → Dataset Card for CHIRLA CHIRLA (Comprehensive High-resolution Identification and Re-identification for Large-scale Analysis) is a long-term, multi-camera person Re-Identification (Re-ID) and tracking dataset. It spans 7 months, 7 cameras, 2
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