datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
image-authenticity-battle
Image Authenticity Battle Dataset
This dataset contains real and synthetic/tampered images for human perception studies on AI-generated content detection.
Dataset Structure
Total Images: 19500
Categories: Real, Synthetic (Fully AI-generated), Tampered (AI-edited)
Models: Nano Banana, Qwen, Flux, SD3
Metadata Fields
Each image has the following metadata:
filename: Path to image file
dataset: Source dataset name
category: real/synthetic/tampered… See the full description on the dataset page: https://huggingface.co/datasets/TheGarlic/image-authenticity-battle.pokemon_card_image_for_authenticity_classification
Pokemon Card Image for Authenticity Classification
This dataset contains front/back images of Pokemon cards for authenticity experiments.
Dataset structure
Images/: all image files (.jpeg)
Images/metadata.jsonl: metadata used by Hugging Face imagefolder
labels.csv: flat label file with the same rows as metadata
Columns
image: image object loaded from file
id: image filename (unique id)
side: card side (0 = front, 1 = back)
labels: authenticity label (1 =… See the full description on the dataset page: https://huggingface.co/datasets/stevelohwc/pokemon_card_image_for_authenticity_classification.C2PA_Certified_Image_Authenticity
C2PA_Certified_Image_Authenticity
Description
This dataset is an exploratory collaboration between TrustMyContent and UncovAI.
This dataset contains a collection of images verified and signed using C2PA technology. Each image includes metadata specifying whether it was generated by artificial intelligence or captured/edited by a human. The goal of this dataset is to provide a reliable source of authenticated images for AI training or research and development of detection… See the full description on the dataset page: https://huggingface.co/datasets/TrustMyContent/C2PA_Certified_Image_Authenticity.