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Studio Dataset for Self-harm Detection
- Citation Author(s):
- Submitted by:
- Hyun-sik Ham
- Last updated:
- Fri, 01/10/2025 - 00:12
- DOI:
- 10.21227/12wc-ae89
- Data Format:
- Links:
- License:
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Abstract
This Dataset is a self-harm dataset developed by ZIOVISION Co. Ltd. It consists of 1,120 videos. Actors were hired to simulate self-harm behaviors, and the scenes were recorded using four cameras to ensure full coverage without blind spots. Self-harm behaviors in the dataset are limited to "cutting" actions targeting specific body parts. The designated self-harm areas include the wrists, forearms, and thighs.
The full dataset can be accesssed through https://github.com/zv-ai/ZV_Self-harm-Dataset.git
The files consist of 07.zip and annotation.zip
When 07.zip is extracted, 160 videos are obtained, and extracting annotation.zip provides .xml files corresponding to each video name
/
├── 07
│ ├── 07_1cam_forearm_lying position_001.mp4
│ ├── 07_1cam_forearm_lying position_002.mp4
│ ├── ...
│ └── 07_4cam_wrist_sitting position_010.mp4
└── annotation
├── 07_1cam_forearm_lying position_001.xml
├── 07_1cam_forearm_lying position_002.xml
├── ...
└── 07_4cam_wrist_sitting position_010.xml
