VWFP: Virtual World Fallen People Dataset for Visual Fallen People Detection

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Dataset information

Catalog

Zenodo catalog

Country of origin

EU institutions

Updated

2022.04.06 00:00

Created

2022.03.29

Available languages

English

Keywords

visual fall detection, virtual worlds, synthetic data, GTA V, object detection, fallen people detection, fallen people

Datasource

Official portal for European data link

Quality scoring

Dataset 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.

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190K+

indexed dataset pages

countries and EU institutions

2019

API-first since

Free API quota

for evaluation and prototypes

SLA

history and push on production APIs

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