DeepOSM
by trailbehind
Train a deep learning net with OpenStreetMap features and satellite imagery.
AI summary
Road classifier
Trains deep learning models to classify roads and features in satellite imagery using OpenStreetMap data.
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Similar projects
Found by comparing what the projects do, not just their names.
Road detector
Automating road detection from aerial imagery using deep learning techniques.
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Image annotator
Automatically annotates satellite images with OpenStreetMap data
Image classification framework
A deep learning framework for training highway networks on image data using convolutional neural networks
Remote sensing imaging model
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Road detector
A MATLAB implementation of a deep learning-based road boundary detection system using a pre-trained RESA model.
Leaf classifier
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Data preparer
Automates data preparation for machine learning with aerial imagery and OpenStreetMap data
Feature dictionary
Maintains a canonical list of commonly used features in OpenStreetMap to ensure consistent spelling and tagging.
Image Segmentation Engine
Trains DeepLab model for semantic image segmentation using annotated data and various training procedures
Image Segmentation Model
PyTorch implementation of a deep learning model for image segmentation
Deep Learning Tutorials
A collection of tutorials and resources on implementing deep learning models using Python libraries such as Keras and Lasagne.
Network extractor
Tools for extracting street network data from OpenStreetMap
szq0214/dsod706
Object Detector
A deep learning-based object detection system from scratch
Image classifier
An image classification model using a third-generation deep residual network.
Featured in 4 awesome lists
Each link jumps to the spot where the list mentions DeepOSM.
