Given a training set of y images where y >>>x, where x is c percentage of y.
Evaluate performance by conduct testing on (providing confusion matrix and validation accuracy graphs)
Case 1: All labelled y images
Case 2: All labelled x images using random sampling
Case 3: All labelled x images using active learning algorithms including least confidence, margin sampling, highest entropy and many more
Case 4: All labelled x images, but varying c value
Image Dataset is CIFAR10. Please use image generator method and load files by their image path (via a csv file) by cloning the images here [login to view URL]
A sample code, though not working fully is attached. Please use EfficientNet for transfer learning.
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