SpaceNetChallenge / BuildingDetectorsLinks
Winning building footprint detector implementations from the SpaceNet challenges.
☆157Updated 8 years ago
Alternatives and similar repositories for BuildingDetectors
Users that are interested in BuildingDetectors are comparing it to the libraries listed below
Sorting:
- Building detector algorithms from second SpaceNet Challenge☆194Updated 5 years ago
- Packages intended to assist in the preprocessing of SpaceNet satellite imagery data corpus to a format that is consumable by machine lear…☆250Updated 6 years ago
- Road Segmentation in Satellite Aerial Images☆59Updated 5 years ago
- Dstl Satellite Imagery Feature Detection☆145Updated 8 years ago
- Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge☆166Updated 7 years ago
- Semantic Segmentation for Aerial / Satellite Images with Convolutional Neural Networks including an unofficial implementation of Volodymy…☆263Updated 4 years ago
- Winning Solutions from SpaceNet Road Detection and Routing Challenge☆211Updated 2 years ago
- Mask-RCNN baseline for the crowdAI Mapping Challenge☆260Updated 4 years ago
- Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun.☆504Updated 2 years ago
- List of labelled remote sensing datasets for use in deep learning.☆59Updated 8 years ago
- Training and test the SegNet neural network on satellite imagery☆206Updated 7 years ago
- Broad Area Satellite Imagery Semantic Segmentation☆24Updated 7 years ago
- SegNet-like network implemented in TensorFlow to use for segmenting aerial images☆102Updated 7 years ago
- Detect buildings in the Spacenet satellite imagery dataset using Single Shot MultiBox Detector (SSD)☆58Updated 8 years ago
- Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery…☆281Updated 6 years ago
- Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep…☆198Updated 5 years ago
- Python code to evaluate the APLS metric☆114Updated 5 years ago
- Examples of using Raster Vision on open datasets☆174Updated 5 years ago
- ☆68Updated 8 years ago
- A convolutional neural network that identifies water in satellite images.☆250Updated 8 years ago
- YOLO/YOLOv2 inspired deep network for object detection on satellite images (Tensorflow, Numpy, Pandas).☆123Updated 8 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 8 years ago
- Data Preparation for Satellite Machine Learning☆472Updated 2 years ago
- Deep networks for Earth Observation☆480Updated 6 years ago
- ☆46Updated 7 years ago
- Experiments with satellite image data☆123Updated 6 years ago
- Baseline models, scoring, and inference for the xView 2018 Challenge (i.e., xview1)☆77Updated 7 years ago
- A tool for running deep learning algorithms for semantic segmentation with satellite imagery☆82Updated 2 years ago
- OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "…☆195Updated 2 years ago
- [DEPRECATED] Data pipeline for machine learning with OpenStreetMap☆170Updated 7 years ago