makeabilitylab/disabilityparking
AccessParkCV AccessParkCV is a deep learning pipeline that detects and characterizes the width of disability parking spaces from orthorectified aerial imagery. We publish a dataset of 7,069 labeled parking spaces (and 4,693 labeled access aisles), which we used to train the models making AccessParkCV possible. (This repo contains the data in a HuggingFace format. For raw COCO format, see link). Dataset Description This is an object detection dataset with 8… See the full description on the dataset page: https://huggingface.co/datasets/makeabilitylab/disabilityparking.
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