| license: mit | |
| tags: | |
| - anomaly-detection | |
| - quality-control | |
| - computer-vision | |
| - efficientad | |
| # EfficientAD - Bottle Inspection Model | |
| Production-ready anomaly detection model for bottle quality inspection. | |
| ## Model Details | |
| - **Dataset**: MVTec AD - Bottle | |
| - **Architecture**: EfficientAD (Medium) | |
| - **Accuracy**: 90.0% | |
| - **Inference Time**: ~300-500ms | |
| ## Defect Types Detected | |
| - Broken (large) | |
| - Broken (small) | |
| - Contamination | |
| ## Usage | |
| ```python | |
| from huggingface_hub import hf_hub_download | |
| import torch | |
| # Download model weights | |
| teacher = hf_hub_download(repo_id="MSherbinii/efficientad-bottle", filename="teacher_final.pth") | |
| student = hf_hub_download(repo_id="MSherbinii/efficientad-bottle", filename="student_final.pth") | |
| autoencoder = hf_hub_download(repo_id="MSherbinii/efficientad-bottle", filename="autoencoder_final.pth") | |
| ``` | |
| ## Live Demo | |
| Try it at: https://msherbinii-lumina-ai-detection.hf.space | |
| ## Powered by Lumina Tech Platform | |
| Industrial AI quality control system. | |