Datasets:

jinmang2
/

ucf_crime

license: cc0-1.0
task_categories:
  - video-classification
language:
  - en
pretty_name: ucf_crime
configs:
  - config_name: anomaly
    data_files:
      - split: train
        path: data/anomaly-train-*.tar
      - split: test
        path: data/anomaly-test-*.tar
  - config_name: event1
    data_files:
      - split: train
        path:
          - data/*-event-train-*.tar
          - data/*-event-test-2-*.tar
          - data/*-event-test-3-*.tar
          - data/*-event-test-4-*.tar
      - split: test
        path: data/*-event-test-1-*.tar
  - config_name: event2
    data_files:
      - split: train
        path:
          - data/*-event-train-*.tar
          - data/*-event-test-1-*.tar
          - data/*-event-test-3-*.tar
          - data/*-event-test-4-*.tar
      - split: test
        path: data/*-event-test-2-*.tar
  - config_name: event3
    data_files:
      - split: train
        path:
          - data/*-event-train-*.tar
          - data/*-event-test-1-*.tar
          - data/*-event-test-2-*.tar
          - data/*-event-test-4-*.tar
      - split: test
        path: data/*-event-test-3-*.tar
  - config_name: event4
    data_files:
      - split: train
        path:
          - data/*-event-train-*.tar
          - data/*-event-test-1-*.tar
          - data/*-event-test-2-*.tar
          - data/*-event-test-3-*.tar
      - split: test
        path: data/*-event-test-4-*.tar
size_categories:
  - 10M<n<100M

UCF-Crime Dataset (WebDataset Format)

이 데이터셋은 UCF-Crime 데이터셋을 Hugging Face datasets 라이브러리의 스트리밍 기능을 위해 WebDataset(TAR Sharding) 형식으로 변환한 버전입니다. 100GB 이상의 대규모 비디오 데이터를 효율적으로 로드할 수 있습니다.

Dataset Description

Homepage: CRCV UCF-Crime
Paper: Real-world Anomaly Detection in Surveillance Videos

from datasets import load_dataset

# Anomaly Detection 설정 로드
dataset = load_dataset("your_id/ucf_crime", "anomaly_detection", split="train", streaming=True)

for sample in dataset:
    video_path = sample["mp4"]
    label = sample["json"]["event"]
    print(f"Video loaded: {video_path}, Label: {label}")
    break

@InProceedings{Sultani_2018_CVPR,
    author={Sultani, Waqas and Chen, Chen and Shah, Mubarak},
    title={Real-World Anomaly Detection in Surveillance Videos},
    booktitle={The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    month={June},
    year={2018},
}