2 datasets found
  1. h

    miners-detection

    • huggingface.co
    Updated Sep 20, 2023
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    Training Data (2023). miners-detection [Dataset]. https://huggingface.co/datasets/TrainingDataPro/miners-detection
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    Dataset updated
    Sep 20, 2023
    Authors
    Training Data
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    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.

  2. Coal Miners Detection

    • kaggle.com
    Updated Sep 18, 2023
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    Training Data (2023). Coal Miners Detection [Dataset]. https://www.kaggle.com/datasets/trainingdatapro/miners-detection/data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 18, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Training Data
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    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.

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Fdb3f193275f5206914a19b127e20138e%2FFrame%2013.png?generation=1695040375509674&alt=media" alt="">

    Get the Dataset

    This is just an example of the data

    Leave a request on https://trainingdata.pro/datasets to discuss your requirements, learn about the price and buy the dataset

    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

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2Febb59bc7d91a28f4e10c3f3da4ce4488%2Fcarbon%20(1).png?generation=1695040600108833&alt=media" alt="">

    Miners detection might be made in accordance with your requirements.

    TrainingData provides high-quality data annotation tailored to your needs

    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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Training Data (2023). miners-detection [Dataset]. https://huggingface.co/datasets/TrainingDataPro/miners-detection

miners-detection

TrainingDataPro/miners-detection

Explore at:
98 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Sep 20, 2023
Authors
Training Data
License

Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
License information was derived automatically

Description

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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