Bouldering Classification Computer Vision Project

Texas Tech University Project Lab

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Description

This project is all about detecting the colors of bouldering holds using photos from the climbing wall at the Texas Tech University Rec Center. The goal is to create a simple and effective system that identifies holds based on their color, helping climbers differentiate routes and plan their climbs more easily.

By training a model with images from the Rec Center, the system focuses purely on color detection to make route identification straightforward.

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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{
                            bouldering-classification_dataset,
                            title = { Bouldering Classification Dataset },
                            type = { Open Source Dataset },
                            author = { Texas Tech University Project Lab },
                            howpublished = { \url{ https://universe.roboflow.com/texas-tech-university-project-lab/bouldering-classification } },
                            url = { https://universe.roboflow.com/texas-tech-university-project-lab/bouldering-classification },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { nov },
                            note = { visited on 2024-11-23 },
                            }