datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
real-fake-ai-generated-art-images
🎨 Real and Fake (AI-Generated) Art Images Dataset
21,642 balanced images — 10,821 real artworks and 10,821 AI-generated
images — for training models to distinguish authentic art from GAN-generated fakes.
🧭 Overview
This dataset is part of the FauxFinder project, designed to build
advanced models capable of distinguishing between authentic artworks
and AI-generated images. Ideal for binary classification, GAN research,
and computer vision benchmarking.… See the full description on the dataset page: https://huggingface.co/datasets/hmnshudhmn24/real-fake-ai-generated-art-images.ai-generated-ecommerce-images
AI-Generated E-Commerce Images
Overview
This dataset contains 6,031 AI-generated images depicting common e-commerce
after-sales scenarios across 12 categories. The dataset also ships with
companion annotations (annotations_ai.jsonl) describing each image in
chat-completion format.
Dataset Structure
Category
Description
damaged_electronics
Damaged electronics (keyboards, laptops, headphones, etc.)
damaged_phone_screen
Smartphones with cracked or… See the full description on the dataset page: https://huggingface.co/datasets/JoyCN/ai-generated-ecommerce-images.ai-generated-ecommerce-images
AI-Generated E-Commerce Images
Overview
This dataset contains 6,031 AI-generated images depicting common e-commerce
after-sales scenarios across 12 categories. The dataset also ships with
companion annotations (annotations_ai.jsonl) describing each image in
chat-completion format.
Dataset Structure
Category
Description
damaged_electronics
Damaged electronics (keyboards, laptops, headphones, etc.)
damaged_phone_screen
Smartphones with cracked or… See the full description on the dataset page: https://huggingface.co/datasets/prajwalkothwal/ai-generated-ecommerce-images.AI_Generated_Ghibli
AI-Generated Ghibli Images Dataset
This repository contains a collection of AI-generated images in the style of Studio Ghibli. These images showcase various subjects, characters, and landscapes rendered in the distinctive artistic style associated with Studio Ghibli animation films.
Dataset Overview
Number of Images: 368 high-quality images
Image Format: Primarily PNG and JPG files
Resolution: Various resolutions (primarily high resolution)
Generation Tools: Created… See the full description on the dataset page: https://huggingface.co/datasets/filberthamijoyo/AI_Generated_Ghibli.CAS3120-2026-Project1_AI-Generated-Image-Detection
Project 1 — AI-Generated Image Detection
Course materials for CAS3120 · Introduction to Machine Learning · Spring 2026, Department of AI, Yonsei University.
Task
Binary image classification: distinguish real images from AI-generated images.
Dataset Summary
Image size: 128 × 128 RGB PNG
Splits:
train: 2,000 images (labeled)
val: 1,000 images (labeled)
test: 2,000 images (labels withheld)
Class balance: 50/50 in each labeled split
Test labels are withheld.… See the full description on the dataset page: https://huggingface.co/datasets/yonsei-dli/CAS3120-2026-Project1_AI-Generated-Image-Detection.Robustness-of-AI-Generated-Image-Detection-Against-Localized-Inpainting-Attacks
Robustness of AI-Generated Image Detection Against Localized Inpainting Attacks
This repository hosts the detector-ready datasets and mask packs used in the thesis:
Robustness of AI-Generated Image Detection Against Localized Inpainting AttacksOguz Akin, Saarland University, CISPA Helmholtz Center for Information Security (2025)
It provides standardized evaluation splits for six state-of-the-art AI-generated image (AIGI) detectors across watermarking, passive, and training-free… See the full description on the dataset page: https://huggingface.co/datasets/eoguzakin/Robustness-of-AI-Generated-Image-Detection-Against-Localized-Inpainting-Attacks.Project1-AI-Generated-Image-Detection-2026
Project 1 — AI-Generated Image Detection
Course materials for CAS3120 · Introduction to Machine Learning · Spring 2026, Department of AI, Yonsei University.
Task
Binary image classification: distinguish real images from AI-generated images.
Dataset Summary
Image size: 128 × 128 RGB PNG
Splits:
train: 2,000 images (labeled)
val: 1,000 images (labeled)
test: 2,000 images (labels withheld)
Class balance: 50/50 in each labeled split
Test labels are withheld.… See the full description on the dataset page: https://huggingface.co/datasets/legenduck/Project1-AI-Generated-Image-Detection-2026.