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Miners Object Detection dataset
The dataset consists of of photos captured within various mines, focusing on miners engaged in their work. Each photo is annotated with bounding box detection of the miners, an attribute highlights whether each miner is sitting or standing in the photo.
The dataset's diverse applications such as computer vision, safety assessment and others make it a valuable resource for researchers, employers, and policymakers in the mining industry.
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Dataset structure
- images - contains of original images of miners
- boxes - includes bounding box labeling for the original images
- annotations.xml - contains coordinates of the bounding boxes and labels, created for the original photo
Data Format
Each image from images
folder is accompanied by an XML-annotation in the annotations.xml
file indicating the coordinates of the bounding boxes for miners detection. For each point, the x and y coordinates are provided. The position of the miner is also provided by the attribute is_sitting (true, false).
Example of XML file structure
Miners detection might be made in accordance with your requirements.
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keywords: coal mines, underground, safety monitoring system, safety dataset, manufacturing dataset, industrial safety database, health and safety dataset, quality control dataset, quality assurance dataset, annotations dataset, computer vision dataset, image dataset, object detection, human images, classification
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