Based on recent technical literature, the reference most likely refers to the expanded dataset used in a 2025 research study published in PLOS ONE regarding coal gangue image segmentation.
A critical challenge in training neural networks for mining is the lack of diverse data. In the primary study, an initial set of 1,980 original images was collected. To improve generalization and prevent overfitting, various were applied: Geometric Transformations : Image rotation (randomly ±90plus or minus 90 Photometric Adjustments : Random luminance changes (up to ) to simulate varying lighting underground.
FPS increase, enabling real-time deployment on conveyor belt systems. 5. Conclusion
The following is a structured paper based on the methodologies and results associated with that dataset.
Efficient separation of coal and gangue is vital for sustainable mining. This paper details the development of an improved YOLOv8 model for image segmentation, trained on a comprehensive dataset expanded to images. By utilizing data expansion techniques and transfer learning, the model achieves high precision (
Based on recent technical literature, the reference most likely refers to the expanded dataset used in a 2025 research study published in PLOS ONE regarding coal gangue image segmentation.
A critical challenge in training neural networks for mining is the lack of diverse data. In the primary study, an initial set of 1,980 original images was collected. To improve generalization and prevent overfitting, various were applied: Geometric Transformations : Image rotation (randomly ±90plus or minus 90 Photometric Adjustments : Random luminance changes (up to ) to simulate varying lighting underground. 11265.rar
FPS increase, enabling real-time deployment on conveyor belt systems. 5. Conclusion Based on recent technical literature, the reference most
The following is a structured paper based on the methodologies and results associated with that dataset. Conclusion The following is a structured paper based
Efficient separation of coal and gangue is vital for sustainable mining. This paper details the development of an improved YOLOv8 model for image segmentation, trained on a comprehensive dataset expanded to images. By utilizing data expansion techniques and transfer learning, the model achieves high precision (