Dataset · Hugging Face

WJHuang/calibration

Name: calibration
Creator: WJHuang
License: mit
Keywords: task_categories:image-classification, task_categories:token-classification, language:en, license:mit, arxiv:2506.17968, region:us, deep learning, neural network classifier, classification calibration, network calibration, canonical calibration, deep learning calibration, confidence calibration

Post-hoc Calibration Dataset 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. Dataset Overview 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… See the full description on the dataset page: https://huggingface.co/datasets/WJHuang/calibration.

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Author / organization	WJHuang
License (as declared)	mit
Downloads	567 (as reported by Hugging Face)
Likes	1
Created	11 July 2025
Last updated at source	28 August 2026

deep learningneural network classifierclassification calibrationnetwork calibrationcanonical calibrationdeep learning calibrationconfidence calibration

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