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Table 3 Network parameters for high-throughput soybean seeds instance segmentation using Mask R-CNN

From: High-throughput soybean seeds phenotyping with convolutional neural networks and transfer learning

Parameters Values
Backbone layer ResNet 50/101
Head layer Faster R-CNN
Input size 256*256 / 512*512/1024*1024
Anchor ratio [0.5, 1, 2]
Learning rate 0.001
Epoch 40
RPN anchor scale (8, 6, 32, 64-128)
Pre-processing Mean-subtraction
Image resize mode None
Augmentation LR, UD, Rotation, Brightness, Gaussian Blur