Title: how to train image classification with small difference in low-level feature
Tags: deep-learning;image-classification;computer-vision;accuracy;embeddings
Question: I would like to build the model that capable of doing classification for example 2 classes below :
I tried alexnet, resnet50, resnet18, vgg16 but seem they are failed to differentiate between this two classes. The overall images looks similar but only differ by low-level feature on the bottom left of image. I need suggestion, how to improve the prediction and to make model can recognize the low-level feature to differentiate the images ?
thank you



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