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A newer version of the Gradio SDK is available: 6.30.0
title: AIGC Image Detector (TechJam 2026 Track 5)
emoji: 🔍
colorFrom: red
colorTo: blue
sdk: gradio
sdk_version: 6.26.0
python_version: '3.12'
app_file: app.py
pinned: false
license: mit
short_description: AI-generated image detector with evidence maps
AIGC image detector — TechJam 2026 Track 5
Live demo of the detector from github.com/samt41/techjam_aigsee: a frozen DINOv2-B/14 backbone read at blocks 8 and 10 by two small transformer heads whose logits are averaged. Upload, paste, or pick a sample; you get the probability the image is AI-generated plus a signed evidence map (red = fake evidence, blue = real).
Headline numbers on the full track demonstration set: clean AUC 0.9978, robust mean over six corruption families 0.9943, track score 0.9960. Full tables, error analysis and training code are in the repo.
Sample images: AI-generated ones are from the Community Forensics dataset
(Park & Owens, CC-BY-4.0); real photographs are CC0 from Wikimedia Commons. Credits
in samples/ATTRIBUTION.md. This Space runs on ZeroGPU.