LeadingIndiaAI / Road-damage-detectionLinks
Keeping roads in a good condition is vital to safe driving. To monitor the degradation of road conditions is one of the important component in transportation maintenance which is labor intensive and requires domain expertise. Automatic detection of road damage is an important task in transportation maintenance for driving safety assurance. The i…
☆23Updated 6 years ago
Alternatives and similar repositories for Road-damage-detection
Users that are interested in Road-damage-detection are comparing it to the libraries listed below
Sorting:
- Transfer Learning with EfficientNet in Keras☆88Updated 2 years ago
- Tata Innoverse SolverHunt 8 Submission. Built a realtime face mask detection and social distancing detector.☆33Updated 3 years ago
- Yolov5 : You Look Only Once v5 Learning Resources and Collection☆48Updated 4 years ago
- A Tensorflow2.0 implementation of Single Shot Detector☆33Updated 4 years ago
- Real time crack segmentation using PyTorch, OpenCV and ONNX runtime☆63Updated 3 years ago
- For the Kaggle Competition on object detection with same name. 1) models used are DETR, EfficientDet, YOLOv5, RetinaNet, FasterRCNN. 2) E…☆12Updated 3 years ago
- Automatic Defect Inspection with End-to-End Deep Learning☆32Updated 5 years ago
- Keras implementation of RetinaNet for object detection and visual relationship identification☆30Updated 4 years ago
- Implementation of Basic Digital Image Processing Tasks in Python / OpenCV☆173Updated 6 years ago
- ☆118Updated 2 years ago
- This is a flask application to receive a image file, process using deep learning model and return resulting label.☆12Updated 2 years ago
- Pytorch implementation of RetinaNet using EfficientNets as feature extractor or backbone network.☆43Updated 4 years ago
- ☆104Updated 4 years ago
- A Tensorflow implementation of Deep Lab V3 Plus from scratch.☆22Updated 5 years ago
- Smoke detection via semantic segmentation using Baseline U-Net model & LinkNet and image augmentation☆83Updated 4 years ago
- Classifying people as high risk and low risk based on their distance to other people.☆110Updated last year
- Object detection and instance segmentation on MaskRCNN with torchvision, albumentations, tensorboard and cocoapi. Supports custom coco da…☆19Updated 4 years ago
- How to train an object detection model with mmdetection☆73Updated 3 years ago
- U-Net variants to segment cracks in pavement☆14Updated 6 years ago
- Road Damage Detection and Classification with Faster R-CNN (BigData 2018)☆23Updated 6 years ago
- Helmet Detection using tiny-yolo-v3 by training using your own dataset and testing the results in the google colaboratory.☆168Updated last year
- Keras BiseNet architecture implementation☆55Updated 3 years ago
- This is a deep learning model for detecting the potholes on roads. The model is using YOLO-v2.☆84Updated 2 years ago
- Augment dataset (images and annotations) for object detection☆63Updated 3 years ago
- YOLO: Real-Time Object Detection☆37Updated 5 years ago
- YOLO v5 pytorch implementation. This repository contains code for this tutorial.☆150Updated 2 years ago
- A Keras implementation of YOLOv3 (Tensorflow backend)☆21Updated 6 years ago
- ☆56Updated 4 years ago
- A simple YOLOv3 object detection API in Python (using Flask).☆15Updated 4 years ago
- Road Damage Detection Challenge (IEEE Big Data Cup 2020)☆22Updated 4 years ago