This repository contains datasets designed for evaluating and developing post-hoc calibration methods for deep neural network classifiers. Each dataset includes precomputed logits and labels, divided into clear training and test splits.
Datasets provided here cover popular benchmark tasks, including CIFAR-10, CIFAR-100, SVHN, Stanford Cars (CARS), CUB-200 Birds (BIRDS), and ImageNet. Dataset composition here for post-hoc… See the full description on the dataset page:
https://huggingface.co/datasets/WJHuang/calibration.
