Spaces:
Running on Zero
Running on Zero
File size: 1,097 Bytes
46c6123 c44bd5c 46c6123 c44bd5c 46c6123 46a44c9 c44bd5c 46c6123 c44bd5c 546d962 c44bd5c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | ---
title: AD-Copilot
emoji: 🔍
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.23.0
app_file: app.py
hardware: zero-a10g
pinned: true
license: apache-2.0
models:
- jiang-cc/AD-Copilot
tags:
- anomaly-detection
- vision-language-model
- industrial-inspection
- comparison-aware
short_description: "Comparison-Aware Anomaly Detection VLM"
---
# AD-Copilot: Comparison-Aware Anomaly Detection
**AD-Copilot** extends Qwen2.5-VL with a novel comparison-aware visual encoder that generates
special comparison tokens capturing differences between a reference image and a test image,
achieving state-of-the-art results on industrial anomaly detection benchmarks (82.3% on MMAD).
## Usage
1. Upload a **reference (good) image** of the product
2. Upload a **test image** to inspect
3. Choose a prompt (classification or detailed description)
4. Click **Detect Anomaly**
## Links
- **Paper:** [arXiv:2603.13779](https://arxiv.org/abs/2603.13779v1)
- **Code:** [GitHub](https://github.com/jam-cc/AD-Copilot)
- **Model:** [HuggingFace](https://huggingface.co/jiang-cc/AD-Copilot)
|