Table 1
Data set.
Data set | Date (YYYYMMDD) | Number | Sum |
---|---|---|---|
20111108 | 119 | 1656 | |
20111206 | 118 | ||
20120615 | 120 | ||
20120711 | 119 | ||
20140123 | 118 | ||
20140203 | 120 | ||
20140417 | 120 | ||
20140512 | 120 | ||
Training and validation set | 20140705 | 120 | |
20141020 | 120 | ||
20141021 | 118 | ||
20141022 | 116 | ||
20141023 | 113 | ||
20141025 | 114 | ||
20141026 | 118 | ||
20141027 | 120 | ||
20141030 | 120 | ||
20151206 | 120 | 591 | |
20161017 | 120 | ||
Test set | 20161116 | 111 | |
20170707 | 120 | ||
20170708 | 120 |
Notes. The number column is the number of full-disk images in each set. There are 939 pieces of data in the training and validation set. After these data are cut to 256 × 256 strong magnetic field images, these images are divided into a test set and a verification set at a ratio of 8:2. A total of 7537 images are cropped, including 6028 of training sets and 1509 of verification sets. The images of the test set are directly used for speculation without cropping to test the performance of the network on the full disk.
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