metadata

language:
  - en
license: cc-by-nc-nd-4.0
task_categories:
  - image-classification
  - object-detection
tags:
  - code
dataset_info:
  features:
    - name: id
      dtype: int32
    - name: name
      dtype: string
    - name: image
      dtype: image
    - name: mask
      dtype: image
    - name: width
      dtype: uint16
    - name: height
      dtype: uint16
    - name: shapes
      sequence:
        - name: label
          dtype:
            class_label:
              names:
                '0': Miner
        - name: type
          dtype: string
        - name: points
          sequence:
            sequence: float32
        - name: rotation
          dtype: float32
        - name: occluded
          dtype: uint8
        - name: attributes
          sequence:
            - name: name
              dtype: string
            - name: text
              dtype: string
  splits:
    - name: train
      num_bytes: 5907438
      num_examples: 8
  download_size: 5795853
  dataset_size: 5907438

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.

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

Miners detection might be made in accordance with your requirements.

TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets

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