Dataset Card for tiny imagenet Dataset Description Homepage: https://www.kaggle.com/c/tiny imagenet Repository: [Needs More Information] Paper: http://cs231n.stanford.edu/reports/2017/pdfs/930.pdf Leaderboard: https://paperswithcode.com/sota/image classification on tiny imagenet 1 Dataset Summary Tiny ImageNet contains 100000 images of 200 classes (500 for each class) downsized to 64×64 colored images. Each class has 500 training images, 50 validation images, and 50 test images. Languages The class labels in the dataset are in English. Dataset Structure Data Instances Data Fields image: A PIL.Image.Image object containing the image. Note that when accessing the image column: dataset[0]["image"] the image file is automatically decoded. Decoding of a large number of image files might take a significant amount of time. Thus it is important to first query the sample index before the "image" column, i.e. dataset[0]["image"] should always be preferred over dataset["image"][0]. label: an int classification label. 1 for test set as the labels are missing. Check classes.py for the map of numbers & labels. Data Splits Train Valid of samples 100000 10000 Usage Example Load Dataset
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