Dataset · Hugging Face

SivaKeerthi/AI-vs-Real

Name: AI-vs-Real
Creator: SivaKeerthi
License: mit
Keywords: task_categories:image-classification, license:mit, size_categories:10K<n<100K, format:parquet, modality:image, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, image, classification

🖼️ AI-vs-Real Dataset A balanced dataset for AI-generated vs Real image classification.This dataset is designed to help researchers, developers, and practitioners build and evaluate models that can distinguish between synthetic (AI-generated) and authentic (human-captured) images. 📊 Dataset Overview Classes: 0 → AI-generated images 1 → Real (human-captured) images Balance:The dataset is properly balanced across both classes.This ensures that… See the full description on the dataset page: https://huggingface.co/datasets/SivaKeerthi/AI-vs-Real.

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Author / organization	SivaKeerthi
License (as declared)	mit
Downloads	0 (as reported by Hugging Face)
Likes	0
Created	20 October 2026
Last updated at source	20 October 2026

imageclassification

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