OOD Computer Vision Project
VisionAid
Updated a month ago
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Classes (22)
bench bicycle bus
bus_stop
cane car curb
dog fire_hydrant motorcycle person pole spherical_roadblock
stairs stop_sign street_light traffic_light train tree truck warning_column
waste_container
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Description
Outdoor Obstacle Detection (OOD): is a custom dataset created to train models to detect 22 specific types of obstacles that can obstruct blind people in the way when walking in outdoor spaces. The dataset contains 10.000 images and 29.779 annotated instances and 22 classes: person, car, tree, spherical_roadblock, warning_column, waste_container, street_light, fire_hydrant, traffic_light, stop_sign, pole, bench, curb, stairs, bicycle, motorcycle, dog, bus, truck, train, bus_stop, crutch.
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LICENSE
CC BY 4.0 If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
ood-pbnro-hhepb_dataset,
title = { OOD Dataset },
type = { Open Source Dataset },
author = { VisionAid },
howpublished = { \url{ https://universe.roboflow.com/visionaid-7mkcb/ood-pbnro-hhepb } },
url = { https://universe.roboflow.com/visionaid-7mkcb/ood-pbnro-hhepb },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { apr },
note = { visited on 2025-05-22 },
}