Research Article
Detection of Microdefects in Fabric with Multifarious Patterns and Colors Using Deep Convolutional Neural Network
Table 6
Detection rates on validation samples and test samples.
| Run ID | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | ACC |
| Validation accuracy (%) | 91.66 | 92.11 | 92.84 | 93.15 | 92.58 | 92.70 | 92.75 | 93.23 | 92.68 | 92.93 | 92.66 |
| Test accuracy (%) | Dirty marks | 86.91 | 87.22 | 86.73 | 87.12 | 87.54 | 88.01 | 86.45 | 87.26 | 87.51 | 86.73 | 87.15 | Clip mark | 86.52 | 88.71 | 87.38 | 85.82 | 89.07 | 89.15 | 89.46 | 90.05 | 85.75 | 90.15 | 88.21 | Broken yam | 97.35 | 98.44 | 98.12 | 98.32 | 97.96 | 98.02 | 98.73 | 98.16 | 98.01 | 97.79 | 98.09 | Defect-free | 96.44 | 97.58 | 97.36 | 97.48 | 96.62 | 96.49 | 96.94 | 97.70 | 97.01 | 97.73 | 97.14 |
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