donrax / industrial-surface-inspection-datasets
Datasets for industrial surface-inspection
☆79Updated 2 years ago
Alternatives and similar repositories for industrial-surface-inspection-datasets:
Users that are interested in industrial-surface-inspection-datasets are comparing it to the libraries listed below
- Vanilla torch and timm industrial knn-based anomaly detection for images.☆154Updated 5 months ago
- This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.☆285Updated 2 years ago
- Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders☆126Updated 4 years ago
- PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"☆242Updated 2 years ago
- Anomaly detection in industrial dataset(MVTEC) like capsules, texture, bottle tec... with simple layers and high performance☆34Updated 3 years ago
- ☆253Updated 4 years ago
- A Vision Transformer Network for Image Anomaly Detection and Localization☆113Updated 3 years ago
- Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch☆117Updated 2 years ago
- This is the official repository to the WACV 2022 paper "Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection" by Marco …☆112Updated 2 years ago
- Student–Teacher Anomaly Detection with Discriminative Latent Embeddings☆182Updated 4 months ago
- This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).☆95Updated 4 years ago
- Dataset for classification, detection and prognostics of surface defects on ball screw drives☆58Updated 3 years ago
- This is Keras code from "Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders".☆53Updated 6 years ago
- Anomaly detection on images using features from pretrained neural networks.☆76Updated 8 months ago
- ☆155Updated 10 months ago
- Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020☆101Updated 2 years ago
- Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction☆94Updated 2 years ago
- This is unofficial implementation of Inpainting Transformer for Anomaly Detection(Intra)☆48Updated 3 years ago
- PyTorch implementation of "Reconstruction by inpainting for visual anomaly detection (RIAD)"☆15Updated 2 years ago
- Unofficial re-implementation of Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation☆25Updated 2 years ago
- Anomaly detection method that incorporates multi-scale features to sparse coding☆46Updated 4 years ago
- PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization☆35Updated 3 years ago
- This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows"…☆223Updated 2 years ago
- This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders☆62Updated 4 years ago
- Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings☆86Updated 4 years ago
- Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"☆61Updated 4 years ago
- This is the implementation of our paper in ECCV 2020.☆65Updated 3 years ago
- A dataset of functional and defective solar cells extracted from EL images of solar modules☆255Updated 5 months ago
- ☆87Updated 4 months ago
- Implementation of f-AnoGAN with PyTorch☆144Updated 2 years ago