nmcnamee24/ucf-crime-rgb-flow-features
UCF-Crime RGB and Optical-Flow Features Precomputed paired RGB and optical-flow feature arrays for all 1,900 UCF-Crime videos, organized into 13 anomaly categories and one normal category. Each video has both appearance (RGB) and motion (optical flow) features. Raw videos are not included. Representation Each all_rgbs/<category>/<video>.mp4.npy and matching all_flows/<category>/<video>.mp4.npy file is a NumPy float32 array of shape (32, 1024): 32 temporal feature… See the full description on the dataset page: https://huggingface.co/datasets/nmcnamee24/ucf-crime-rgb-flow-features.
| Author / organization | nmcnamee24 |
|---|---|
| Downloads | 165 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 6 October 2026 |
| Last updated at source | 14 October 2026 |
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