datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Open-Pixel-1T
🌌 Open-Pixel-1T (Visual Atlas)
A Large-Scale, High-Entropy Synthetic Image Dataset for Foundational Pre-Training
📑 Dataset Summary
Open-Pixel-1T is a monumental open-source initiative designed to create a "Visual Atlas" of stochastic imagery. Unlike traditional datasets scraped from social media which contain inherent human bias, Open-Pixel-1T is constructed using high-entropy random seeds to generate unique, diverse visual signals.
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/LAYEK-143/Open-Pixel-1T.Pixel-aicorruption-pixelate
Corruption Dataset: Pixelate
Dataset Description
This dataset contains corrupted versions of ImageNet-1K images using pixelate corruption. It is part of the ImageNet-C benchmark for evaluating model robustness to common image corruptions.
Dataset Structure
Train: 1,281,167 corrupted images
Validation: 50,000 corrupted images
Classes: 1000 ImageNet-1K classes
Format: Arrow (Hugging Face Datasets)
Corruption Type: Pixelate
Reduces image resolution… See the full description on the dataset page: https://huggingface.co/datasets/MarMaster/corruption-pixelate.