erkutt/MTFL_UCF_Crime
Video Classification
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UCF Crime Dataset
About Dataset
The dataset contains extracted images from the UCF crime dataset used for Real-world Anomaly Detection in Surveillance Videos
Content
The dataset contains images extracted from every video from the UCF Crime Dataset. Every 10th frame is extracted from each full-length video and combined for every video in that class. All the images are of size 64*64 and in .png format
The dataset has a total of 14 Classes :
1. Abuse
2. Arrest
3. Arson
4. Assault
5. Burglary
6. Explosion
7. Fighting
8. Normal Videos
9. RoadAccidents
10. Robbery
11. Shooting
12. Shoplifting
13. Stealing
14. Vandalism
The total image count for the train subset is 1,266,345. The total image count for the test subset is 111,308.
Acknowledgements
This is a Copy of this kaggle dataset.
All videos used for frame extraction were obtained from UCF CRIME OFFICIAL DATASET.
Official Dropbox link for all videos can be found here.
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Models trained or fine-tuned on hibana2077/UCF-Crime-Dataset