Gloves detection Computer Vision Project
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downloadsGloves Dataset | Covid Safety Wear
PPE detection, body wear detection, Covid safety wear.
About Dataset
This dataset is collected by DataCluster Labs. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster.ai
This dataset is an extremely challenging set of over 5000+ images of people wearing gloves, which are captured and crowdsourced from over 2000+ urban and rural locations, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs. It contains a wide variety of gloves in various colors and textures.
Dataset Features
- Dataset size : 5000+ images
- Captured by : Over 2000+ crowdsource contributors
- Resolution : HD and above (1920x1080 and above)
- Location : Captured with 100+ locations across India
- Diversity : Various lighting conditions like day, night, varied distances, view points etc.
- Device used : Captured using mobile phones in 2020-2022
- Usage : Gloves Detection, Body Accessories Detection, PPE Detection, Covid Safety Items, Object Detection, Computer Vision, etc.
Available Annotation formats
COCO, YOLO, PASCAL-VOC, Tf-Record
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.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ gloves-detection-mvtf1_dataset, title = { Gloves detection Dataset }, type = { Open Source Dataset }, author = { DataCluster Labs }, howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/gloves-detection-mvtf1 } }, url = { https://universe.roboflow.com/datacluster-labs-agryi/gloves-detection-mvtf1 }, journal = { Roboflow Universe }, publisher = { Roboflow }, year = { 2023 }, month = { oct }, note = { visited on 2025-03-02 }, }