I currently got a yolov5 dataset , with everything on it (labels in form of : label , x , y , widh , height).
My question is , is there an fast way to convert it into a proper custom dataset for mask-rcnn?
Im currently searching the whole web, otherwise i have to make a custom dataset from scratch with about 1000 pictures and i sadly i got limited time.
Otherwise i would sit down and use this guide: https://engineering.matterport.com/splash-of-color-instance-segmentation-with-mask-r-cnn-and-tensorflow-7c761e238b46