Table 8.

Effect of using a subset of the original and augmented images. The precision, recall, F1 score, and accuracy values are shown for both the validation and test data sets, calculated over 1000 training epochs. The validation set is used every 10 epochs, and the final trained parameters are used on the test data set after training is complete. 1000 original and 1000 augmented images were used (2000 in total) with a chunk size of 400, and the training samples make up 60 per cent of the total data.

PrecisionRecallF1Accuracy
(per cent)(per cent)(per cent)(per cent)
Validation
C94.197.895.992.7
D95.296.495.892.6
E95.396.295.792.4
F95.396.395.892.5
Test
C96.594.095.291.4
D93.898.195.993.0
E95.395.395.392.2
F94.491.893.188.3
PrecisionRecallF1Accuracy
(per cent)(per cent)(per cent)(per cent)
Validation
C94.197.895.992.7
D95.296.495.892.6
E95.396.295.792.4
F95.396.395.892.5
Test
C96.594.095.291.4
D93.898.195.993.0
E95.395.395.392.2
F94.491.893.188.3
Table 8.

Effect of using a subset of the original and augmented images. The precision, recall, F1 score, and accuracy values are shown for both the validation and test data sets, calculated over 1000 training epochs. The validation set is used every 10 epochs, and the final trained parameters are used on the test data set after training is complete. 1000 original and 1000 augmented images were used (2000 in total) with a chunk size of 400, and the training samples make up 60 per cent of the total data.

PrecisionRecallF1Accuracy
(per cent)(per cent)(per cent)(per cent)
Validation
C94.197.895.992.7
D95.296.495.892.6
E95.396.295.792.4
F95.396.395.892.5
Test
C96.594.095.291.4
D93.898.195.993.0
E95.395.395.392.2
F94.491.893.188.3
PrecisionRecallF1Accuracy
(per cent)(per cent)(per cent)(per cent)
Validation
C94.197.895.992.7
D95.296.495.892.6
E95.396.295.792.4
F95.396.395.892.5
Test
C96.594.095.291.4
D93.898.195.993.0
E95.395.395.392.2
F94.491.893.188.3
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