RoadDetections
Road detector
Automating road detection from aerial imagery using deep learning techniques.
Road detections from Microsoft Maps aerial imagery
541 stars
20 watching
26 forks
last commit: 12 months ago
Linked from 1 awesome list
sacridini/awesome-geospatialRelated projects:
| Repository | Description | Stars |
|---|---|---|
 matlab-deep-learning/pretrained-resa-network-for-road-boundary-detection | A MATLAB implementation of a deep learning-based road boundary detection system using a pre-trained RESA model. | 3 |
 trailbehind/deeposm | Trains deep learning models to classify roads and features in satellite imagery using OpenStreetMap data. | 1,321 |
 perceptilabs/wildfire-detection | Develops machine learning models to automatically detect wildfires from images | 7 |
 bailool/placerecognition-loopdetection | This project provides a light-weight algorithm for detecting loops in place recognition using road markings. | 57 |
 vxy10/p5_vehicledetection_unet | Develops an object detection algorithm using a U-Net architecture to detect vehicles in images and videos from a publicly available dataset | 95 |
| microsoft/aerial_wildlife_detection | An active learning framework for annotating images and training machine learning models to detect wildlife in aerial images | 230 |
 developmentseed/skynet-data | Automates data preparation for machine learning with aerial imagery and OpenStreetMap data | 170 |
 geometalab/osmdeepod | Automated object detection from aerial imagery using OpenStreetMap data and deep learning. | 192 |
 jkk-research/urban_road_filter | An algorithm for detecting urban roads and sidewalks from LiDAR point clouds in real-time. | 298 |
 vmarsocci/3dcd | Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs. | 29 |
 bharath272/sds_eccv2014 | A Matlab implementation of simultaneous object detection and segmentation using deep learning techniques. | 96 |
 msracver/relation-networks-for-object-detection | An implementation of an object detection framework that incorporates relation networks and deformable convolutions | 1,096 |
 weecology/deepforest | A Python package for training and predicting ecological objects in airborne imagery using deep learning object detection networks. | 529 |
 chenjoya/vehicle_detection_recognition | A Matlab project for vehicle detection and recognition using deep learning techniques. | 202 |
 docuracy/descartes | Automated road detection and network analysis from historical maps. | 65 |