kapil-verma / Machine_part_defect-detectionLinks
Classification of automotive parts as defective and non-defective with transfer learning.
☆15Updated 8 months ago
Alternatives and similar repositories for Machine_part_defect-detection
Users that are interested in Machine_part_defect-detection are comparing it to the libraries listed below
Sorting:
- This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.☆114Updated 4 years ago
- This project aims to automatically detect surface defects in Hot-Rolled Steel Strips such as rolled-in scale, patches, crazing, pitted su…☆55Updated 4 years ago
- This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.☆289Updated 2 years ago
- Anomaly detection on images using features from pretrained neural networks.☆80Updated last year
- Scientific Reports 2023☆48Updated 5 months ago
- A repository for creating a Deep Learning model for Defect Detection in PCBs and to design a Web Application for it.☆38Updated 3 years ago
- Pipeline training and inference Anomalib models UI in Anomaly Detection☆90Updated last year
- Implementation of the paper: Defect Detection in Plain Weave Fabrics by Yarn Tracking and Fully Convolutional Networks☆66Updated 4 years ago
- Dataset for classification, detection and prognostics of surface defects on ball screw drives☆68Updated 4 years ago
- This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" Th…☆67Updated 3 years ago
- Real time crack segmentation using PyTorch, OpenCV and ONNX runtime☆63Updated 3 years ago
- This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders☆62Updated 5 years ago
- Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification w…☆29Updated 4 years ago
- Active learning for deep object detection using YOLO☆56Updated 4 years ago
- A dataset of functional and defective solar cells extracted from EL images of solar modules☆264Updated 9 months ago
- Deep Learning Model for Crack Detection and Segmentation☆155Updated last year
- Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"☆311Updated 3 years ago
- This repo contains customized deep learning models for segmenting cracks.☆50Updated 4 years ago
- AIFT2019-Real-time fabric defect segmentation based on convolutional neural network☆34Updated 5 years ago
- Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders☆126Updated 5 years ago
- Train a Mask R-CNN model with the Tensorflow Object Detection API☆77Updated 3 years ago
- Implementation of automatic computer-aided identification system to recognize different types of welding defects in radiographic images w…☆26Updated 4 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆44Updated 5 years ago
- This is a deep learning application project in the industrial field, intended to detect defects on the workpiece surface. The code is bas…☆83Updated 5 years ago
- LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.☆62Updated last year
- Explainable Defect Detection using Convolutional Neural Networks: Case Study☆75Updated 2 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆25Updated 5 years ago
- Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification w…☆74Updated 5 years ago
- Vanilla torch and timm industrial knn-based anomaly detection for images.☆161Updated 10 months ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆183Updated 8 months ago