andreas-roennestad / Resnet50-FPN-detection-RDD2022Links
Fine-tuning Resnet-50 FPN based DNN for road crack detection on RDD2022
☆17Updated 3 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
Sorting:
- Our industrial project is on 'Intelligent Road Crack Detection using Deep Learning' where we create an artificial intelligence (AI) syste…☆30Updated 5 years ago
- 📅This repository contains the code for crack detection in concrete surfaces. It is a PyTorch implementation of Deep Learning-Based Crack…☆94Updated 11 months ago
- This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on m…☆192Updated last year
- In this project, urban traffic videos are collected from the middle section of Xi 'an South Second Ring Road with a large traffic flow, a…☆107Updated 4 years ago
- Deep learning model for classifying concrete images as with or without crack☆11Updated 5 years ago
- This dataset contains over 3800 high-resolution images of surface defects on wind turbine blades with diverse and diverse backgrounds. Th…☆22Updated 2 years ago
- Road crack detection project based on NestedUnet model☆22Updated 3 years ago
- Training dataset for Crack Detection☆31Updated 6 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…☆34Updated 5 years ago
- Python UNET implementation on the problem of concrete crack detection and critical width location☆23Updated 5 years ago
- Pavement surface crack datasets for DL based crack detection☆62Updated 3 years ago
- ☆43Updated 5 years ago
- Crack Detection On Highway Or Pavement Using OpenCV☆158Updated last year
- A Repository to Train a Custom Yolov4 based object detector for road damage detection using the RDD2020 dataset☆14Updated 3 years ago
- 采用 Mask R-CNN 算法模型进行目标检测，使用 Deep SORT 目标跟踪算法运动轨迹。☆39Updated 5 years ago
- Crowdsensing-based Road Damage Detection Challenge (CRDDC2022)☆16Updated 3 years ago
- Vehicle object detection & distance estimation using thermal imaging.☆39Updated 3 years ago
- Identification of road surfaces and 12 different classes like speed bumps, paved, unpaved, markings, water puddles, potholes, etc.☆15Updated 2 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆44Updated 6 years ago
- Lightweight Rail Surface Defect Detection Algorithm Based on an Improved YOLOv8☆40Updated 10 months ago
- Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection☆248Updated 2 years ago
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection☆331Updated 2 years ago
- Convert A XML_VOC annotations of the BDD100k dataset to YOLO format and training a custom dataset for vehicles with YOLOv5, YOLOv8☆16Updated 2 years ago
- ☆38Updated 6 years ago
- AlirezaShamsoshoara / Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicleAerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))☆236Updated 4 years ago
- DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.☆275Updated 2 years ago
- ☆393Updated 10 months ago
- This is a Surface Crack Detection project implemented with the Tensorflow. We fine tuning some deep learning models (like VGG 19, VGG16, …☆11Updated 3 years ago
- Detect and track vehicles and pedestrian from UAV videos☆27Updated 6 years ago
- A Pytorch implementation of DeepCrack and RoadNet projects.☆299Updated last year