Categories/Computer Vision/Image Classification
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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CelebFaces Attributes Dataset (CelebA) is a large-scale face attributes dataset with more than 200K celebrity images, each with 40 attribute annotations. The images in this dataset cover large pose variations and background clutter. CelebA has large diversities, large quantities, and rich annotations.

1.5 gb
203K25
Updated: 1 month ago

134.8 mb
2260K
Updated: 1 month ago

135.7 mb
260K
Updated: 1 year ago

788.5 mb
21K21K3
Updated: 1 year ago

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.

821.6 mb
3.7K6315K
Updated: 7 months ago

Dataset of black and white 44x44 pixel images to detect emotion

59.9 mb
36K45
Updated: 7 months ago