Table 2 The Table of partial weight results.
From: A novel deep learning model based on YOLOv5 optimal method for coal gangue image recognition
Model Summary: 271 layers, 7,182,383 par, 0 gradients, 16.4 G FLOPs | ||||||
|---|---|---|---|---|---|---|
Class | Images | Labels | P | R | mAP | Times (ms) |
All | 310 | 1096 | 0.966 | 0.959 | 0.977 | 0.801 |
Coal | 310 | 709 | 0.962 | 0.96 | 0.98 | 0.793 |
Rock | 310 | 387 | 0.971 | 0.958 | 0.975 | 0.81 |
Speed: 0.6 ms pre-process, 10.2 ms inference, 0.8 ms NMS per image at shape (1,3,640,640) | ||||||
