tonylay7/bouldering_route_classification
A third year project that revolves around classification of climbing routes using image processing and deep learning techniques
This project helps climbing gym setters and coaches automatically assess the difficulty (grade) of indoor bouldering routes. By inputting a single image of a climbing wall taken with a phone camera, it identifies individual holds and then classifies the route's grade on the Hueco 'V' scale. The tool is designed for route setters or coaches who want an objective way to grade new problems or analyze existing ones.
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Use this if you are a climbing gym route setter or coach looking for an automated method to classify the difficulty of bouldering routes from an image.
Not ideal if your routes involve significant horizontal climbing, as it currently assumes a bottom-to-top ascent, or if you need to analyze routes other than 'slab' (completely vertical) walls.
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Last pushed
Dec 21, 2023
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