An African Road Obstacle Detection Dataset for ADAS

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Authors: Rumbidzai Muzata
Cited by: 0

Abstract

The dataset comprises a region-specific collection of African road obstacle images for vision-based Advanced Driver Assistance Systems (ADAS) and autonomous driving research. It includes 3,236 manually annotated images captured in real-world African road environments.

Fields of Study & Subjects

Autonomous Vehicle Technology and Safety Advanced Neural Network Applications Infrastructure Maintenance and Monitoring

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Document type
Dataset