52 images

New Hold Detections Computer Vision Project

Rock Climbing

Updated 5 months ago

254

views

downloads

Metrics

Try This Model

Drop an image or

browse your device

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.

Use This Trained Model

Try it in your browser, or deploy via our Hosted Inference API and other deployment methods.

Try In Browser Deploy Model

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE

CC BY 4.0

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

                        @misc{
                            new-hold-detections_dataset,
                            title = { New Hold Detections Dataset },
                            type = { Open Source Dataset },
                            author = { Rock Climbing },
                            howpublished = { \url{ https://universe.roboflow.com/rock-climbing/new-hold-detections } },
                            url = { https://universe.roboflow.com/rock-climbing/new-hold-detections },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { jul },
                            note = { visited on 2024-12-21 },
                            }