pjsun2012 / Phase5_Capstone-Project
Deep learning for automated corrosion detection
☆38Updated 3 years ago
Alternatives and similar repositories for Phase5_Capstone-Project:
Users that are interested in Phase5_Capstone-Project are comparing it to the libraries listed below
- Bayesian Segmentation Corrosion Detection☆36Updated 3 years ago
- Classification of automotive parts as defective and non-defective with transfer learning.☆14Updated 4 months ago
- The dataset consists of 600 images about pavement cracks taken from roads in Edmonton Canada. They are all annotated at pixel level for c…☆31Updated 4 years ago
- ☆40Updated 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…☆52Updated 3 years ago
- ☆17Updated 6 years ago
- Real time crack segmentation using PyTorch, OpenCV and ONNX runtime☆61Updated 2 years ago
- Concrete Crack Detection for Structural Audit☆30Updated 5 years ago
- The Pytorch Implementation of Our Concrete Crack and Spall Detection☆25Updated 5 years ago
- Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance☆55Updated 5 years ago
- Clustering and Image Processing using Fuzzy Logic☆23Updated last year
- Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification w…☆29Updated 4 years ago
- Crack Detection On Highway Or Pavement Using OpenCV☆141Updated 7 months ago
- A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.☆44Updated 4 years ago
- Concrete Crack and Spalling Detection using Deep Neural Network☆84Updated 6 years ago
- Explainable Defect Detection using Convolutional Neural Networks: Case Study☆75Updated 2 years ago
- The complete blood count (CBC) dataset contains a total of 360 blood smear images of red blood cells (RBCs), white blood cells (WBCs), an…☆90Updated 3 years ago
- A python-based crack detection and classification system using deep learning; used YOLO object detection algorithm. To extract the featur…☆20Updated 4 years ago
- This repo contains customized deep learning models for segmenting cracks.☆50Updated 3 years ago
- Training your own dataset using Deeplab v3 in Google Colab☆9Updated 4 years ago
- Eye Disease Classification using google images data☆15Updated 3 years ago
- This project is about detecting defects on steel surface using Unet. The dataset used for this project is the NEU-DET database.☆113Updated 3 years ago
- Dataset for classification, detection and prognostics of surface defects on ball screw drives☆59Updated 3 years ago
- Build a image classification python web app with Streamlit and PyTorch☆23Updated 8 months ago
- U-Net variants to segment cracks in pavement☆14Updated 6 years ago
- Regression in Convolutional Neural Network applied to Plant Leaf Count☆19Updated 2 years ago
- Datasets for industrial surface-inspection☆79Updated 3 years ago
- Crack detection for concrete structure using Matlab☆32Updated 7 years ago
- The proposed idea is to use convolutional neural network (CNN) to classify defects on the semiconductor wafer substrate. There are total …☆18Updated 4 years ago
- Bone fracture detection using DenseNet on MURA dataset☆34Updated 4 years ago