ASIIC Computer Vision Project

ATA

Updated 3 years ago

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Classes (9)
Agujeros
Cazo
Class 2
Class 3
Pinch
pie
pinza
regleta
romo

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Description

Here are a few use cases for this project:

  1. Indoor Rock Climbing Training: ASIIC can be used to create personalized training programs for climbers by analyzing the climbing wall and suggesting routes based on the identified holds and their difficulty levels.

  2. Virtual Climbing Experience: ASIIC can be integrated into virtual reality or augmented reality applications to provide an immersive and realistic rock climbing experience for users, allowing them to interact with the holds and practice their climbing skills in a simulated environment.

  3. Climbing Wall Design: ASIIC can be utilized by designers of climbing walls and structures to optimize the placement of holds, ensuring well-balanced and challenging routes for climbers of various skill levels.

  4. Climbing Assessments and Competitions: ASIIC can assist in evaluating climbing performance by identifying the holds used by climbers during an ascent, comparing it to the benchmarked route, and then scoring the climbers based on their completion of the assigned route.

  5. Hold Manufacturing Quality Control: Manufacturers of climbing holds can employ ASIIC to inspect their products, comparing the manufactured holds to the intended designs to ensure consistency, quality, and adherence to industry standards.

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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{
                            asiic_dataset,
                            title = { ASIIC Dataset },
                            type = { Open Source Dataset },
                            author = { ATA },
                            howpublished = { \url{ https://universe.roboflow.com/ata/asiic } },
                            url = { https://universe.roboflow.com/ata/asiic },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { apr },
                            note = { visited on 2025-01-09 },
                            }