Image Classification Datasets
Image classification is a computer vision task that categorizes images into one of several classes. This is an important task in computer vision that is used in many applications, such as self-driving cars, facial recognition, and object recognition.
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37 category pet dataset with roughly 200 images for each class. The images have a large variations in scale, pose and lighting. All images have an associated ground truth annotation of breed, head ROI, and pixel level trimap segmentation.
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Dataset of black and white 44x44 pixel images to detect emotion
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