OOD Computer Vision Project

FPN

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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_dataset,
                            title = { OOD Dataset },
                            type = { Open Source Dataset },
                            author = { FPN },
                            howpublished = { \url{ https://universe.roboflow.com/fpn/ood-pbnro } },
                            url = { https://universe.roboflow.com/fpn/ood-pbnro },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-11-23 },
                            }