Coal Miners Detection Dataset

Key Features:

1. Detailed Annotations:
   • Each photo is annotated with bounding boxes to accurately identify the location of miners.
   • Annotations include attributes specifying whether the miner is sitting or standing.
2. Diverse Mining Environments:
   • Images are captured across various types of mines, providing a comprehensive representation of different mining conditions.
3. High-Resolution Images:
   • The dataset comprises high-resolution photos ensuring clarity and precision in detection tasks.
4. Versatile Applications:
   • Computer Vision: Can be used to train models for miner detection and posture analysis.
   • Safety Assessment: Helps in monitoring and improving safety protocols by analyzing miners’ positions and movements.
   • Research & Development: Aids in the development of advanced AI and machine learning models tailored to the mining industry.

Potential Use Cases:

• Safety Monitoring Systems: Automating the detection of miners and their postures to ensure compliance with safety regulations and prompt identification of hazardous situations.
• Productivity Analysis: Assessing the working patterns and conditions of miners to optimize productivity and workflow.
• Training Simulations: Creating realistic simulations for training purposes, helping new miners understand the working environment and safety measures.