Published March 29, 2022
| Version v1
Dataset
Open
VWFP: Virtual World Fallen People Dataset for Visual Fallen People Detection
- 1. Institute of Information Science and Technologies (ISTI-CNR), Pisa, Italy
- 2. University of Pisa, Italy
- 1. Institute of Information Science and Technologies (ISTI-CNR), Pisa, Italy
- 2. University of Pisa, Italy
Description
A synthetic dataset for visual fallen people detection comprising images extracted from the highly photo-realistic video game Grand Theft Auto V developed by Rockstar North. Each image is labeled by the game engine providing bounding boxes and statuses (fallen or non-fallen) of people present in the scene.
The dataset comprises 6,071 synthetic images depicting 7,456 fallen and 26,125 non-fallen pedestrian instances in various looks, camera positions, background scenes, lightning, and occlusion conditions.
Files
vwfp-dataset.zip
Files
(11.5 GB)
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md5:359155cfb3b2bb36db83a5fce136d56b
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