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Hold Colors June 5 Computer Vision Project
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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.
Trained Model API
This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
hold-colors-june-5_dataset,
title = { Hold Colors June 5 Dataset },
type = { Open Source Dataset },
author = { rock climbing coach },
howpublished = { \url{ https://universe.roboflow.com/rock-climbing-coach/hold-colors-june-5 } },
url = { https://universe.roboflow.com/rock-climbing-coach/hold-colors-june-5 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { jan },
note = { visited on 2024-06-18 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Hold Colors June 5 project in your project.
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