Human wrist Computer Vision Project
Human Wrist Image Dataset | Human Body Parts
Human Wrist Images dataset for Detection and Augmented Reality use cases
About Dataset
**This sample dataset is collected by DataCluster Labs, India.
To download full datasets or to submit a request for your dataset needs, please email on: sales@datacluster.ai ** This dataset consists of images of wrist (with different kind of bands on it).
Introduction
Dataset consists of images of wrist captured using mobile phones in real-world scenario. Images were captured under wide variety of lighting conditions, weather, indoor and outdoor. This dataset can be used for Augmented Reality, Mixed Reality, Rakhi Detection, Wrist-watch Detection, Hand-band Detection, etc.
Dataset Features
- Captured by 3000+ unique users
- Rich in diversity
- Mobile phone view point
- Various items on the wrist
- Consists male and female wrists
- HD Resolution
- Various lighting conditions
- Indoor and Outdoor scene
Dataset Features
- Classification and detection annotations available
- Multiple category annotations possible
- COCO, PASCAL VOC and YOLO formats
The images in this dataset are exclusively owned by Data Cluster Labs and were not downloaded from the internet. To access a larger portion of the training dataset for research and commercial purposes, a license can be purchased. Contact us at sales@datacluster.ai Visit www.datacluster.ai to know more.
Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
human-wrist_dataset,
title = { Human wrist Dataset },
type = { Open Source Dataset },
author = { DataCluster Labs },
howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/human-wrist } },
url = { https://universe.roboflow.com/datacluster-labs-agryi/human-wrist },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { oct },
note = { visited on 2024-06-30 },
}
Connect Your Model With Program Logic
Find utilities and guides to help you start using the Human wrist project in your project.