RoadDetections
Road detector
Automating road detection from aerial imagery using deep learning techniques.
Road detections from Microsoft Maps aerial imagery
538 stars
19 watching
26 forks
last commit: 10 days ago
Linked from 1 awesome list
Related 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. | 1,320 |
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 | 169 |
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. | 295 |
vmarsocci/3dcd | Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs. | 28 |
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 algorithm that improves on traditional methods by modeling relationships between objects in images | 1,097 |
weecology/deepforest | A Python package for training and predicting ecological objects in airborne imagery using deep learning object detection networks. | 519 |
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 |