In Tiny ImageNet, there are 100,000 images divided up into 200 classes. Every image in the dataset is downsized to a 64×64 colored image. For every class, there are 500 training images, 50 validating images and 50 test images.
Download Tiny ImageNet Dataset in Python
Instead of downloading the TinyImageNet dataset in Python, you can effortlessly load it in Python via our open-source package Hub with just one line of code.
Load Tiny ImageNet Dataset Training Subset in Python
Paper: Introduced by Le et al. in Tiny imagenet visual recognition challenge
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Tiny ImageNet Dataset Curators
Ya Le and Xuan S. Yang
Tiny ImageNet Dataset Licensing Information
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The Tiny ImageNet dataset is a visual database often used in visual object recognition software research. The Tiny ImageNet dataset is a modified subset of the original ImageNet dataset. The Tiny ImageNet dataset has 800 fewer classes than the ImageNet dataset, with 100,000 training examples and 10,000 validation examples.
How can I use Tiny ImageNet dataset in PyTorch or TensorFlow?