add coco pointer

README.md

@@ -43,6 +43,7 @@ dataset_info:
 
 <strong>AccessParkCV</strong> 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](https://huggingface.co/datasets/makeabilitylab/AccessParkCV_coco)).
 
 ## Dataset Description