OSMDeepOD
Object Detector
Automated object detection from aerial imagery using OpenStreetMap data and deep learning.
OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").
192 stars
23 watching
42 forks
Language: Python
last commit: over 2 years ago
Linked from 1 awesome list
bingconvolutional-neural-networksdeep-learningimage-detectionimage-segmentationmachine-learningopenstreetmaposmpythontensorflow
attibalazs/awesome-remote-sensingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 trailbehind/deeposm | Trains deep learning models to classify roads and features in satellite imagery using OpenStreetMap data. | 1,321 |
 ayoolaolafenwa/pixellib | A deep learning library for image segmentation and object detection using PyTorch. | 1,054 |
 developmentseed/label-maker | Automatically annotates satellite images with OpenStreetMap data | 461 |
 ibm/max-object-detector | A tool for detecting objects in images using deep learning models | 290 |
 lartpang/ovcamo | Develops an object segmentation algorithm to detect camouflaged objects in images with varying backgrounds and contexts. | 20 |
 aspectumapp/osm2geojson | Tool for converting OpenStreetMap data into GeoJSON format | 101 |
 vmarsocci/3dcd | Automatically inferring 2D and 3D change detection maps from bitemporal optical images without relying on DSMs. | 29 |
| developmentseed/skynet-data | Automates data preparation for machine learning with aerial imagery and OpenStreetMap data | 170 |
 philipperemy/yolo-9000 | Real-time object detection using deep learning and a large dataset of classes | 1,184 |
 mitmul/ssai | An aerial imagery segmentation tool using deep learning techniques to identify buildings and roads from satellite images. | 27 |
 digitalglobe/mltools | Tools for building machine learning solutions on satellite imagery | 81 |
 microsoft/roaddetections | Automating road detection from aerial imagery using deep learning techniques. | 541 |
 avanetten/simrdwn | An object detection system using rapid satellite imagery and deep learning algorithms | 216 |
 szq0214/dsod | A deep learning-based object detection system from scratch | 706 |
 chanyn/hkrm | Develops a deep learning model for large-scale object detection that leverages hybrid knowledge and routing mechanisms. | 105 |