Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

An African Road Obstacle Detection Dataset for ADAS

Domain:

mobility

Record type:

dataset
Creator:
Rum
Host:avatar

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.

Visit

figshare.com

Tasks

computer visionimage classification

Tags

Computer visionroad obstacle detectiongeographic biasADASYOLOv8

Licenses

CC BY 4.0

Similar

Comparative Evaluation of YOLO Models on an African Road Obstacles Dataset for Real-Time Obstacle DetectionReal‐Time Road Obstacle Detection System to Enhance Road Safety on African RoadsRegion-Specific Road Object Detection in African Environments: Dataset Curation, Benchmarking, and Edge DeploymentAn image-based convolutional neural network system for road defects detection

Comparative Evaluation of YOLO Models on an African Road Obstacles Dataset for Real-Time Obstacle Detection

Public datasets are used to train road obstacle detection models, but they lack diverse and rare obj

Real‐Time Road Obstacle Detection System to Enhance Road Safety on African Roads

ABSTRACT Globally, there has been a 5% decline in road accident fatalities. Inte

Region-Specific Road Object Detection in African Environments: Dataset Curation, Benchmarking, and Edge Deployment

Road safety in Africa faces substantial challenges that current public and custom datasets for auton

An image-based convolutional neural network system for road defects detection

An application of convolutional neural network (CNN) technique for road surface defects detection is