Datasets:
| { | |
| "description": "UCF-Crime dataset with pre-extracted I3D features and temporal anomaly annotations.", | |
| "citation": "@inproceedings{sultani2018real, title={Real-world Anomaly Detection in Surveillance Videos}, author={Sultani, Waqas and Chen, Chen and Shah, Mubarak}, booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition}, pages={4469--4478}, year={2018}}", | |
| "homepage": "https://www.crcv.ucf.edu/projects/real-world/", | |
| "license": "research-only", | |
| "sizeInBytes": null, | |
| "task_templates": [ | |
| "video-anomaly-detection" | |
| ], | |
| "features": { | |
| "features": { | |
| "dtype": "float32", | |
| "shape": [ | |
| 64, | |
| 1024 | |
| ], | |
| "description": "I3D RGB features extracted from 64 uniformly sampled frames, with dimension 1024" | |
| }, | |
| "labels": { | |
| "dtype": "float32", | |
| "shape": [ | |
| 64 | |
| ], | |
| "description": "Binary temporal labels indicating anomaly (1) or normal (0) frames" | |
| } | |
| }, | |
| "splits": { | |
| "train": { | |
| "num_examples": null | |
| }, | |
| "validation": { | |
| "num_examples": null | |
| }, | |
| "test": { | |
| "num_examples": null | |
| } | |
| }, | |
| "subset_size": null, | |
| "version": "1.0.0", | |
| "datasetFingerprint": null | |
| } |