ClimbVision/ClimbInst

ClimbInst: Climbing Hold Instance Segmentation Dataset ClimbInst is an instance segmentation dataset for climbing holds and volumes on indoor climbing walls. It was developed to support research in climbing-hold instance segmentation and related computer vision applications. The dataset contains 1,509 images with a total of 89,020 annotated instances. Climbing holds and volumes are represented using a single unified class. Dataset Structure The dataset is divided… See the full description on the dataset page: https://huggingface.co/datasets/ClimbVision/ClimbInst.

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