Tiny ImageNet

Dataset Card for tiny-imagenet 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 Instan

Papers using Tiny ImageNet (6)

ContraGAN: Contrastive Learning for Conditional Image Generation2020 · 77 citesData-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective2021 · 7 citesDenoising Diffusion Autoencoders are Unified Self-supervised Learners2023 · 7 citesConditional Generation from Unconditional Diffusion Models using Denoiser Representations2023 · 3 citesGenerative Convolution Layer for Image Generation2021Generative Dataset Distillation Based on Diffusion Model2024