Tiny ImageNet

Tiny ImageNet is a dataset used to evaluate classification performance in machine learning, containing a subset of images from the ImageNet dataset with 200 classes and 500 training images per class.

Papers using Tiny ImageNet (2)

Multi-channel convolutional neural quantum embedding2025Optimizing Quantum Embedding using Genetic Algorithm for QML Applications2024