ertkrn / RoadDamageDetection-DeepLearningLinks
It is intended to detect damage to road images taken by a camera. For this, deep learning technology, a subspace of machine learning, and Convolutional Neural Networks (CNN), one of the most popular types of deep neural networks, are used. The TensorFlow library is trained through the Ssd Inception V2 Coco pre-trained model to detect damage to i…
☆19Updated 6 years ago
Alternatives and similar repositories for RoadDamageDetection-DeepLearning
Users that are interested in RoadDamageDetection-DeepLearning are comparing it to the libraries listed below
Sorting:
- ☆33Updated 6 years ago
- Road Damage Detection and Classification with Faster R-CNN (BigData 2018)☆23Updated 7 years ago
- ☆121Updated 5 years ago
- Road Damage Detection Challenge (IEEE Big Data Cup 2020)☆21Updated 4 years ago
- pedestrian detection in hazy weather☆35Updated 4 years ago
- road damage detection challenge 2020☆288Updated 3 years ago
- Smoke detection via semantic segmentation using Baseline U-Net model & LinkNet and image augmentation☆84Updated 5 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
- ☆34Updated 2 years ago
- This is the GC10-DET datasets of the upcoming paper " Deep Metallic Surface Defect Detection: the New Benchmark and Detection Network" Th…☆73Updated 3 years ago
- I tried to apply the CAM algorithm to YOLOv4 and it worked.☆60Updated 4 years ago
- CV integrated project. Including MOT to track cars and pedestrians, object detection and image classification to get license plate conten…☆53Updated 3 years ago
- 将DOTA数据集制作成VOC格式,包含类别选择,图片分割,标签抓取,txt2xml,重命名,索引制作等六个步骤。☆18Updated 4 years ago
- 2 classes of lightweight object detection. train on VOC 、SAR☆28Updated 6 years ago
- Keeping roads in a good condition is vital to safe driving. To monitor the degradation of road conditions is one of the important compone…☆22Updated 7 years ago
- 2020 Undergraduate Graduation Project in Jiangnan University ALL codes including Data-convert, keras-Train, model-Evaluate and Web-App☆36Updated 3 years ago
- Official implementation for DMNet: Density map guided object detection in aerial image (CVPR 2020 EarthVision workshop)☆106Updated 3 years ago
- Repository for IEEE Big Data Challenge 2020 "Road Damage Detection".☆25Updated 2 years ago
- A dataset and evaluation scheme to provide an straightforward manner to compare the performance of different non-stationary video based f…☆85Updated 6 years ago
- The project uses Unet-based improved networks to study road crack segmentation, which is based on keras.☆43Updated 6 years ago
- DOTA database training with yolo | 基于DOTA数据集的yolo训练☆64Updated 6 years ago
- ☆349Updated 8 years ago
- repository contain codes for IEEE BigData Cup Challange 2020☆94Updated 3 years ago
- end-to-end DeepLab V3+ semantic segmentation pipeline, implemented with tf.keras☆29Updated 2 weeks ago
- People Live Tracking using YOLOv2 in MATLAB☆17Updated 7 years ago
- Learning Calibrated-Guidance for Object Detection in Aerial Images☆59Updated 3 years ago
- Open-source code for our CVPR19 paper "Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification w…☆78Updated 5 years ago
- ☆31Updated 4 years ago
- Mosaic Data Augmentation in YOLOv4☆18Updated 5 years ago
- AlirezaShamsoshoara / Fire-Detection-UAV-Aerial-Image-Classification-Segmentation-UnmannedAerialVehicleAerial Imagery dataset for fire detection: classification and segmentation (Unmanned Aerial Vehicle (UAV))☆237Updated 4 years ago