MetaUAS / README.md
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metadata
license: cc-by-nc-nd-4.0
pipeline_tag: image-segmentation
tags:
  - one-shot anomaly-detection
  - industrial-inspection
  - meta-learning
  - pytorch
library_name: pytorch
language:
  - en
base_model:
  - google/efficientnet-b4

MetaUAS Model Weights

This repository contains pre-trained weights for the MetaUAS anomaly detection model. 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-v2.ckpt"
)

License

cc-by-nc-nd-4.0