Hugging Face's logo

Datasets:
CosmicAstro
/
UCF-Crime-X3D

Tasks:
Feature Extraction
Video Classification
Modalities:
Text
Formats:
text
Size:
1K - 10K
Tags:
ucf-crime
video-anomaly-detection
x3d
spatio-temporal-features
computer-vision
violence-detection
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
 Community
1
Dataset Viewer
Auto-converted to Parquet Duplicate
text
stringlengths
34
67
X3D_Videos/Abuse/Abuse001_x264.npy
X3D_Videos/Abuse/Abuse002_x264.npy
X3D_Videos/Abuse/Abuse003_x264.npy
X3D_Videos/Abuse/Abuse004_x264.npy
X3D_Videos/Abuse/Abuse005_x264.npy
X3D_Videos/Abuse/Abuse006_x264.npy
X3D_Videos/Abuse/Abuse007_x264.npy
X3D_Videos/Abuse/Abuse008_x264.npy
X3D_Videos/Abuse/Abuse009_x264.npy
X3D_Videos/Abuse/Abuse010_x264.npy
X3D_Videos/Abuse/Abuse011_x264.npy
X3D_Videos/Abuse/Abuse012_x264.npy
X3D_Videos/Abuse/Abuse013_x264.npy
X3D_Videos/Abuse/Abuse014_x264.npy
X3D_Videos/Abuse/Abuse015_x264.npy
X3D_Videos/Abuse/Abuse016_x264.npy
X3D_Videos/Abuse/Abuse017_x264.npy
X3D_Videos/Abuse/Abuse018_x264.npy
X3D_Videos/Abuse/Abuse019_x264.npy
X3D_Videos/Abuse/Abuse020_x264.npy
X3D_Videos/Abuse/Abuse021_x264.npy
X3D_Videos/Abuse/Abuse022_x264.npy
X3D_Videos/Abuse/Abuse023_x264.npy
X3D_Videos/Abuse/Abuse024_x264.npy
X3D_Videos/Abuse/Abuse025_x264.npy
X3D_Videos/Abuse/Abuse026_x264.npy
X3D_Videos/Abuse/Abuse027_x264.npy
X3D_Videos/Abuse/Abuse029_x264.npy
X3D_Videos/Abuse/Abuse031_x264.npy
X3D_Videos/Abuse/Abuse032_x264.npy
X3D_Videos/Abuse/Abuse033_x264.npy
X3D_Videos/Abuse/Abuse034_x264.npy
X3D_Videos/Abuse/Abuse035_x264.npy
X3D_Videos/Abuse/Abuse036_x264.npy
X3D_Videos/Abuse/Abuse037_x264.npy
X3D_Videos/Abuse/Abuse038_x264.npy
X3D_Videos/Abuse/Abuse039_x264.npy
X3D_Videos/Abuse/Abuse040_x264.npy
X3D_Videos/Abuse/Abuse041_x264.npy
X3D_Videos/Abuse/Abuse042_x264.npy
X3D_Videos/Abuse/Abuse043_x264.npy
X3D_Videos/Abuse/Abuse044_x264.npy
X3D_Videos/Abuse/Abuse045_x264.npy
X3D_Videos/Abuse/Abuse046_x264.npy
X3D_Videos/Abuse/Abuse047_x264.npy
X3D_Videos/Abuse/Abuse048_x264.npy
X3D_Videos/Abuse/Abuse049_x264.npy
X3D_Videos/Abuse/Abuse050_x264.npy
X3D_Videos/Arrest/Arrest002_x264.npy
X3D_Videos/Arrest/Arrest003_x264.npy
X3D_Videos/Arrest/Arrest004_x264.npy
X3D_Videos/Arrest/Arrest005_x264.npy
X3D_Videos/Arrest/Arrest006_x264.npy
X3D_Videos/Arrest/Arrest008_x264.npy
X3D_Videos/Arrest/Arrest009_x264.npy
X3D_Videos/Arrest/Arrest010_x264.npy
X3D_Videos/Arrest/Arrest011_x264.npy
X3D_Videos/Arrest/Arrest012_x264.npy
X3D_Videos/Arrest/Arrest013_x264.npy
X3D_Videos/Arrest/Arrest014_x264.npy
X3D_Videos/Arrest/Arrest015_x264.npy
X3D_Videos/Arrest/Arrest016_x264.npy
X3D_Videos/Arrest/Arrest017_x264.npy
X3D_Videos/Arrest/Arrest018_x264.npy
X3D_Videos/Arrest/Arrest019_x264.npy
X3D_Videos/Arrest/Arrest020_x264.npy
X3D_Videos/Arrest/Arrest021_x264.npy
X3D_Videos/Arrest/Arrest022_x264.npy
X3D_Videos/Arrest/Arrest023_x264.npy
X3D_Videos/Arrest/Arrest025_x264.npy
X3D_Videos/Arrest/Arrest026_x264.npy
X3D_Videos/Arrest/Arrest027_x264.npy
X3D_Videos/Arrest/Arrest028_x264.npy
X3D_Videos/Arrest/Arrest029_x264.npy
X3D_Videos/Arrest/Arrest031_x264.npy
X3D_Videos/Arrest/Arrest032_x264.npy
X3D_Videos/Arrest/Arrest033_x264.npy
X3D_Videos/Arrest/Arrest034_x264.npy
X3D_Videos/Arrest/Arrest035_x264.npy
X3D_Videos/Arrest/Arrest036_x264.npy
X3D_Videos/Arrest/Arrest037_x264.npy
X3D_Videos/Arrest/Arrest038_x264.npy
X3D_Videos/Arrest/Arrest040_x264.npy
X3D_Videos/Arrest/Arrest041_x264.npy
X3D_Videos/Arrest/Arrest042_x264.npy
X3D_Videos/Arrest/Arrest043_x264.npy
X3D_Videos/Arrest/Arrest044_x264.npy
X3D_Videos/Arrest/Arrest046_x264.npy
X3D_Videos/Arrest/Arrest047_x264.npy
X3D_Videos/Arrest/Arrest048_x264.npy
X3D_Videos/Arrest/Arrest049_x264.npy
X3D_Videos/Arrest/Arrest050_x264.npy
X3D_Videos/Arrest/Arrest051_x264.npy
X3D_Videos/Arson/Arson001_x264.npy
X3D_Videos/Arson/Arson002_x264.npy
X3D_Videos/Arson/Arson003_x264.npy
X3D_Videos/Arson/Arson005_x264.npy
X3D_Videos/Arson/Arson006_x264.npy
X3D_Videos/Arson/Arson008_x264.npy
X3D_Videos/Arson/Arson012_x264.npy
End of preview. Expand in Data Studio

YAML Metadata Warning:The task_categories "anomaly-detection" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

UCF-Crime X3D Features

Dataset Description

This repository contains pre-extracted X3D spatio-temporal video features from the UCF-Crime dataset for research in video anomaly detection and weakly supervised video anomaly detection.

The features are intended to be used as input to downstream anomaly detection models rather than as raw video data.

Source Dataset

The features are extracted from videos belonging to the UCF-Crime dataset.

UCF-Crime is a large-scale surveillance video dataset containing normal and anomalous events from real-world surveillance footage.

The original dataset contains multiple anomaly categories, including:

  • Abuse
  • Arrest
  • Arson
  • Assault
  • Burglary
  • Explosion
  • Fighting
  • Road Accidents
  • Robbery
  • Shooting
  • Shoplifting
  • Stealing
  • Vandalism

as well as normal surveillance videos.

Feature Extraction

The videos were processed using an X3D spatio-temporal network to obtain compact video representations.

The resulting files contain pre-extracted spatio-temporal features and are intended for downstream video anomaly detection experiments.

Directory Structure

The repository is organized according to the corresponding UCF-Crime categories:

X3D_Videos/
├── Abuse/
├── Arrest/
├── Arson/
├── Assault/
├── Burglary/
├── Explosion/
├── Fighting/
├── RoadAccidents/
├── Robbery/
├── Shooting/
├── Shoplifting/
├── Stealing/
├── Testing_Normal_Videos_Anomaly/
├── Training_Normal_Videos_Anomaly/
└── Vandalism/
Downloads last month
38
Number of rows:
1,900
Total file size:
2.34 GB