SpaceNetChallenge / utilitiesLinks
Packages intended to assist in the preprocessing of SpaceNet satellite imagery data corpus to a format that is consumable by machine learning algorithms.
☆249Updated 5 years ago
Alternatives and similar repositories for utilities
Users that are interested in utilities are comparing it to the libraries listed below
Sorting:
- Building detector algorithms from second SpaceNet Challenge☆193Updated 5 years ago
- Winning building footprint detector implementations from the SpaceNet challenges.☆157Updated 8 years ago
- Winning Solutions from SpaceNet Road Detection and Routing Challenge☆209Updated last year
- Baseline models, scoring, and inference for the xView 2018 Challenge (i.e., xview1)☆77Updated 6 years ago
- Deep networks for Earth Observation☆478Updated 5 years ago
- Mask-RCNN baseline for the crowdAI Mapping Challenge☆260Updated 4 years ago
- Semantic Segmentation for Aerial / Satellite Images with Convolutional Neural Networks including an unofficial implementation of Volodymy…☆261Updated 3 years ago
- Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge☆167Updated 7 years ago
- Dstl Satellite Imagery Feature Detection☆144Updated 7 years ago
- Python code to evaluate the APLS metric☆113Updated 4 years ago
- Kaggle DSTL Satellite Imagery Feature Detection☆207Updated 7 years ago
- SegNet-like network implemented in TensorFlow to use for segmenting aerial images☆101Updated 6 years ago
- Training and test the SegNet neural network on satellite imagery☆206Updated 7 years ago
- [DEPRECATED] Data pipeline for machine learning with OpenStreetMap☆170Updated 6 years ago
- Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun.☆505Updated 2 years ago
- Data Preparation for Satellite Machine Learning☆467Updated last year
- Space Net Three Competition code☆93Updated 7 years ago
- ☆68Updated 8 years ago
- Examples of using Raster Vision on open datasets☆174Updated 4 years ago
- Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep…☆197Updated 5 years ago
- Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery☆97Updated last year
- Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery…☆278Updated 5 years ago
- Broad Area Satellite Imagery Semantic Segmentation☆24Updated 6 years ago
- A sample project demonstrating how to extract building footprints from satellite images using a semantic segmentation model. Data from th…☆106Updated 4 years ago
- ☆31Updated 8 years ago
- List of labelled remote sensing datasets for use in deep learning.☆58Updated 8 years ago
- Geoseg - A Computer Vision Package for Automatic Building Segmentation and Outline extraction☆110Updated 4 years ago
- CosmiQ Works Geospatial Machine Learning Analysis Toolkit☆427Updated 2 years ago
- Open solution to the Mapping Challenge☆387Updated 4 years ago
- ☆42Updated 7 years ago