metadata
license: cc-by-nc-nd-4.0
pipeline_tag: image-segmentation
tags:
- one-shot anomaly-detection
- industrial-inspection
- meta-learning
- efficientnet
- pytorch
library_name: pytorch
language:
- en
base_model:
- google/efficientnet-b4
MetaUAS Model Weights
This repository contains pre-trained MetaUAS weights for one-shot anomaly detection. This repository contains the paper described in MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning
Model Files
| File | Description | Size |
|---|---|---|
metauas-256.ckpt |
MetaUAS model (256x256 resolution) | 85MB |
metauas-512.ckpt |
MetaUAS model (512x512 resolution) | 85MB |
Usage
from huggingface_hub import hf_hub_download
# Download model
model_path = hf_hub_download(
repo_id="your-username/MetaUAS-weights",
filename="metauas-256.ckpt"
)
License
cc-by-nc-nd-4.0