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Features such as custom classifiers and general tagging don't work well when there's multiple objects within a scene, or the objects that need to be classified take up less than 1/3rd of the area of an image.
When I get low classification scores from a custom classifier I trained, I would like to know how I can improve the classifier's accuracy. Even better would be knowing which training images are potentially dragging the score down.
Ideally I wouldn't need to do training for Watson to recognize my logo, but if it is needed, I wouldn't mind uploading a small number of images of my logo (<10 images) to train the system. Watson should be able to identify multiple instances of...
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