The performance of classification is generally better if:
the training images are representative of the variation typically found within the object class. For example, to train a "dog" class, use images of dogs of different sizes, breeds, colors, and from different viewpoints.
the longest dimension (width or height) of the training image is at least 500 pixels - smaller images might result in reduced accuracy.
High-resolution images where the object covers a small proportion of the image make poor training images. If you have a large image showing the object and it can be cropped such that its longest dimension still exceeds 500 pixels, Micro Focus recommends cropping the image. If you crop an image, leave a gap around the object of at least 16 pixels.
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