Oximeter Image Dataset | Medical Device Reading (datacluster.ai)

This dataset is an extremely challenging set of over 2000+ original Oximeter images captured and crowdsourced from over 300+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs.

Dataset Features

• Dataset size : 2000+
• Captured by : Over 300+ crowdsource contributors
• Resolution : 100% images HD and above (1920x1080 and above)
• Location : Captured with 50+ cities accross India
• Diversity : Various lighting conditions like day, night, varied distances, view points etc.
• Device used : Captured using mobile phones in 2020-2021
• Usage : Oximeter Reading detection, Medical Device, Healthcare system detection, etc.

Available Annotation formats

COCO, YOLO, PASCAL-VOC, Tf-Record

To download full datasets or to submit a request for your dataset needs, please ping us at sales@datacluster.ai Visit www.datacluster.ai to know more.

Note:
All the images are manually captured and verified by a large contributor base on DataCluster platform