The model classifies upright images correctly.Rotated versions of the same images fail.The content is the same.Only orientation changed.
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I trained a CNN to classify multiple object categories from images.The training completes without errors and the accuracy looks decent.But when I run inference, every image gets the same label.Even very different images are predicted as the ...