Research Article
Brand LOGO Image Recognition and Inquiry Creative Teaching Design Based on Deep Learning
Table 2
Results of different algorithms.
| Algorithm (model) | mAP (%) | Total train time (min) | Test time (ms)/image | Hyperparameters |
| YOLO algorithm | 32.7 | 706 | 22 | mp, , 0.2 | R-CNN algorithm | 50.9 | 1285 | 25685 | Pixels of the image: , , and Convolution kernel: , Step size: 1 The number of convolution kernels: 64 | Faster R-CNN algorithm | 56.9 | 822 | 167 | The number of convolution kernels: 128 : 1 ( controls the balance between the two task losses) RoI (region proposal): 64 | ContextNet algorithm | 62.5 | 1058 | 198 | Stride: 16 Backbone: Xception65 |
|
|