geometalab / OSMDeepOD
OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").
☆192Updated last year
Related projects ⓘ
Alternatives and complementary repositories for OSMDeepOD
- [DEPRECATED] Data pipeline for machine learning with OpenStreetMap☆169Updated 6 years ago
- Using convolutional neural networks to pre-classify images for the humanitarian openstreetmap team (HOT & mapgive).☆44Updated 6 years ago
- Semantic Segmentation for Aerial / Satellite Images with Convolutional Neural Networks including an unofficial implementation of Volodymy…☆260Updated 3 years ago
- Detect buildings in the Spacenet satellite imagery dataset using Single Shot MultiBox Detector (SSD)☆56Updated 7 years ago
- Winning building footprint detector implementations from the SpaceNet challenges.☆156Updated 7 years ago
- Training and test the SegNet neural network on satellite imagery☆206Updated 6 years ago
- Scripts for setting up the SpaceNet dataset for training a SegNet model☆43Updated 8 years ago
- A collection of Machine Learning Tools for object detection and classification on DG imagery.☆82Updated 3 years ago
- Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun.☆502Updated last year
- Packages intended to assist in the preprocessing of SpaceNet satellite imagery data corpus to a format that is consumable by machine lear…☆248Updated 5 years ago
- A convolutional neural network that identifies water in satellite images.☆245Updated 7 years ago
- Road Segmentation in Satellite Aerial Images☆56Updated 4 years ago
- Semantic Segmentation for Aerial Imagery using Convolutional Neural Network☆27Updated 8 years ago
- Scripts and other artifacts for landsat data ingestion into Amazon public hosting.☆103Updated 5 years ago
- Remote sensing datasets and sources.☆63Updated 6 years ago
- ☆68Updated 7 years ago
- (Deprecated) Python SDK for using GBDX☆74Updated 2 years ago
- SegNet-like network implemented in TensorFlow to use for segmenting aerial images☆101Updated 6 years ago
- YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).☆121Updated 7 years ago
- Migrated to: https://gitlab.com/Oslandia/deeposlandia☆59Updated 4 years ago
- General CLI for DeepCore☆15Updated 6 years ago
- Deep Learning Based Large-Scale Automatic Satellite Crosswalk Classification (GRSL, 2017)☆21Updated 2 years ago
- The purpose of the visualizer application is to let you view 3-band and 8-band images, view ground truth building footprints and your sol…☆18Updated 7 years ago
- ☆24Updated 7 years ago
- Building detector algorithms from second SpaceNet Challenge☆192Updated 4 years ago
- Data Preparation for Satellite Machine Learning☆461Updated last year
- ☆32Updated 6 years ago