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

1. Captured by 3000+ unique users
2. Rich in diversity
3. Mobile phone view point
4. Various items on the wrist
5. Consists male and female wrists
6. HD Resolution
7. Various lighting conditions
8. 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.

                        @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 2024-11-21 },
                            }