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").

GitHub

192 stars
23 watching
42 forks
Language: Python
last commit: almost 2 years ago
Linked from 1 awesome list

bingconvolutional-neural-networksdeep-learningimage-detectionimage-segmentationmachine-learningopenstreetmaposmpythontensorflow

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
trailbehind/deeposm Trains deep learning models to classify roads and features in satellite imagery using OpenStreetMap data. 1,320
ayoolaolafenwa/pixellib A deep learning library for image segmentation and object detection using PyTorch. 1,049
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. 28
developmentseed/skynet-data Automates data preparation for machine learning with aerial imagery and OpenStreetMap data 169
philipperemy/yolo-9000 Real-time object detection using deep learning and a large dataset of classes 1,183
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 82
microsoft/roaddetections Automating road detection from aerial imagery using deep learning techniques. 538
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. 104