skateboard keypoint detection Computer Vision Project

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Description

Project Overview This dataset is made for detecting keypoints of the skateboard.

Descriptions of each class type

the skateboard has four keypoints:

  1. left front wheel
  2. right front wheel
  3. left back wheel
  4. right back wheel

Current status and timeline The current version is kept minimal with a number of 49 images. Further addition will be done when a keypoint detection model is tested on it. Links to external resources This dataset is a clone of the original dataset published in the Roboflow datasets universe. Contribution and labeling guidelines feel free to fork the dataset and pull request on any added annotations.

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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{
                            skateboard-keypoint-detection_dataset,
                            title = { skateboard keypoint detection Dataset },
                            type = { Open Source Dataset },
                            author = { Technische Hochschule Aschaffenburg },
                            howpublished = { \url{ https://universe.roboflow.com/technische-hochschule-aschaffenburg/skateboard-keypoint-detection } },
                            url = { https://universe.roboflow.com/technische-hochschule-aschaffenburg/skateboard-keypoint-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { nov },
                            note = { visited on 2024-12-18 },
                            }
                        
                    

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