handpose Computer Vision Project

Lamar university

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Description

Hand Keypoint Dataset

Overview

The Hand Keypoint Dataset consists of 26K + images of hands annotated with keypoints, suitable for training models for hand detection and keypoint estimation.

Keypoints

Each hand is annotated with a total of 21 keypoints distributed as follows:

  • Wrist
  • Thumb: 4 keypoints
  • Index Finger: 4 keypoints
  • Middle Finger: 4 keypoints
  • Ring Finger: 4 keypoints
  • Little Finger: 4 keypoints

Credits

We acknowledge the following sources for the images used in this dataset:

The images were collected and used under the respective licenses provided by each platform.

For inquiries, contact spatel74@lamar.edu.

Thank you for using the Hand Keypoint Dataset!

Reference

Dataset inspiration and structure based on multiple open-source repositories, including Kaggle contributions and the MediaPipe hand keypoint model.

Supervision

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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{
                            handpose-4hfim_dataset,
                            title = { handpose Dataset },
                            type = { Open Source Dataset },
                            author = { Lamar university },
                            howpublished = { \url{ https://universe.roboflow.com/lamar-university-venef/handpose-4hfim } },
                            url = { https://universe.roboflow.com/lamar-university-venef/handpose-4hfim },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-09-21 },
                            }
                        
                    

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