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Hold Detection Computer Vision Project

Rock Climbing

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Description

Computer Vision Based Indoor Rock Climbing Analysis Computer Vision Based Indoor Rock Climbing Analysis (paper link 2)

Authors: Sarah Ekaireb, sekaireb@ucsd.edu, UCSD; Mohammad Ali Khan, makhan@ucsd.edu, UCSD; Prem Pathuri, ppathuri@ucsd.edu, UCSD; Priyanka Haresh Bhatia, pbhatia@ucsd.edu, UCSD; Ripunjay Sharma, r4sharma@ucsd.edu, UCSD; Neha Manjunath-Murkal, nmanjunathmurkal@ucsd.edu, UCSD.

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LICENSE

CC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

                        @misc{
                            hold-detection_dataset,
                            title = { Hold Detection Dataset },
                            type = { Open Source Dataset },
                            author = { Rock Climbing },
                            howpublished = { \url{ https://universe.roboflow.com/rock-climbing/hold-detection } },
                            url = { https://universe.roboflow.com/rock-climbing/hold-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jul },
                            note = { visited on 2024-11-21 },
                            }