Table 1 Dataset sizes used in this work with corresponding computing times
From: DECIMER: towards deep learning for chemical image recognition
Dataset index | Train data size | Test data size | Avrg. time/epoch (s) | Time for 25 epochs (s) |
|---|---|---|---|---|
1 | 54,000 | 6000 | 94.32 | 2358 |
2 | 90,000 | 10,000 | 159.88 | 3997 |
3 | 450,000 | 50,000 | 880.6 | 22,015 |
4 | 900,000 | 100,000 | 2831.8 | 70,795 |
5 | 1,800,000 | 200,000 | 7239.28 | 180,982 |
6 | 2,700,000 | 300,000 | 11,964.72 | 299,118 |
7 | 4,050,000 | 450,000 | 17,495.12 | 437,378 |
8 | 5,850,000 | 650,000 | 25,702 | 642,550 |
9 | 7,200,000 | 800,000 | 32,926.8 | 823,170 |
10 | 8,969,751 | 996,639 | 41,652.24 | 1,041,306 |
11 | 12,600,000 | 1,400,000 | 64,909.28 | 1,622,732 |
12 | 15,102,000 | 1,678,000 | 91,880.84 | 2,297,021 |