From: High-throughput soybean seeds phenotyping with convolutional neural networks and transfer learning
Dataset | Small dataset in the image size of 256 × 256 | |||||||
---|---|---|---|---|---|---|---|---|
Pre-trained model | Pre-trained barley weights [40] | |||||||
Backbone layer | ResNet50-FPN | ResNet101-FPN | ||||||
Test dataset | Synthetic | Real-world | Synthetic | Real-world | ||||
256 | 512 | 1024 | 256 | 512 | 1024 | |||
Recall50 | 0.30 | 0.05 | 0.10 | 0.02 | 0.99 | 1.0 | 0.88 | 1.0 |
AP50 | 0.33 | 0.05 | 0.12 | 0.01 | 0.99 | 1.0 | 0.93 | 1.0 |
AP75 | 0.32 | 0.04 | 0.06 | 0.00 | 0.99 | 1.0 | 0.93 | 0.99 |
AP@[0.5:0.95] | 0.24 | 0.03 | 0.07 | 0.00 | 0.90 | 0.83 | 0.77 | 0.72 |