andreas-roennestad / Resnet50-FPN-detection-RDD2022
Fine-tuning Resnet-50 FPN based DNN for road crack detection on RDD2022
☆12Updated 2 years ago
Alternatives and similar repositories for Resnet50-FPN-detection-RDD2022:
Users that are interested in Resnet50-FPN-detection-RDD2022 are comparing it to the libraries listed below
- A meticulously annotated large-scale dataset for road crack segmentation based on the on-board camera perspective.☆12Updated 9 months ago
- Our industrial project is on 'Intelligent Road Crack Detection using Deep Learning' where we create an artificial intelligence (AI) syste…☆24Updated 4 years ago
- Pavement surface crack datasets for DL based crack detection☆59Updated 2 years ago
- Python UNET implementation on the problem of concrete crack detection and critical width location☆21Updated 4 years ago
- Road crack detection project based on NestedUnet model☆18Updated 3 years 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…☆30Updated 4 years ago
- A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy.☆42Updated 4 years ago
- ☆38Updated last year
- [ECCV W 2022] "CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks" by Shreyas Kulkarni, Shreyas Singh,…☆55Updated 7 months ago
- CarNet is a fast pavement crack detector which achieves excellent accuracy.☆15Updated last year
- Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method o…☆39Updated 2 years ago
- Deep learning model for classifying concrete images as with or without crack☆11Updated 4 years ago
- DAUNet: Deep Augmented Neural Network for Pavement Crack Segmentation☆16Updated 2 years ago
- Training dataset for Crack Detection☆27Updated 5 years ago
- Crack Detection On Highway Or Pavement Using OpenCV☆134Updated 5 months ago
- A modified version of the road damage detection 2022 dataset☆15Updated last year
- This project contains our three crack detection datasets，i.e., Sun520, Rain365, and BJN260.☆12Updated 2 years ago
- ☆28Updated 2 months ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆61Updated 3 weeks ago
- ☆39Updated 4 years ago
- Real-time High-Resolution Neural Network with Semantic Guidance for Crack Segmentation☆52Updated 2 months ago
- Crowdsensing-based Road Damage Detection Challenge (CRDDC2022)☆16Updated 2 years ago
- ☆37Updated 5 years ago
- ☆16Updated 6 years ago
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆265Updated last year
- This is a repository for HIC-Yolov5☆47Updated last year
- A Repository to Train a Custom Yolov4 based object detector for road damage detection using the RDD2020 dataset☆13Updated 2 years ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆160Updated 2 months ago
- 🔥🔥🔥Python+Yolov5路面桥梁裂缝检测识别Detection and recognition of cracks in road bridges wall☆31Updated 8 months ago
- Object Detection and YOLOV7-AC☆27Updated last year