daveluo / zanzibar-aerial-mappingLinks
Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep learning
☆197Updated 5 years ago
Alternatives and similar repositories for zanzibar-aerial-mapping
Users that are interested in zanzibar-aerial-mapping are comparing it to the libraries listed below
Sorting:
- Experiments with satellite image data☆121Updated 5 years ago
- Building detector algorithms from second SpaceNet Challenge☆194Updated 5 years ago
- Dstl Satellite Imagery Feature Detection☆144Updated 7 years ago
- Deep learning pretrained model on satellite imagery (Sentinel-2)☆80Updated 5 years ago
- Winners of the Open Cities AI Challenge competition☆124Updated last year
- Winning Solutions from SpaceNet Road Detection and Routing Challenge☆209Updated last year
- Examples of using Raster Vision on open datasets☆174Updated 4 years ago
- DroneDeploy Machine Learning Segmentation Benchmark☆229Updated 2 years ago
- Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)☆195Updated 4 years ago
- 🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.☆397Updated 4 years ago
- Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery…☆278Updated 5 years ago
- A sample project demonstrating how to extract building footprints from satellite images using a semantic segmentation model. Data from th…☆106Updated 5 years ago
- Data Preparation for Satellite Machine Learning☆467Updated last year
- Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.☆197Updated last year
- Collection of Remote Sensing Resources☆108Updated 3 years ago
- Packages intended to assist in the preprocessing of SpaceNet satellite imagery data corpus to a format that is consumable by machine lear…☆249Updated 5 years ago
- Satellite Image Classification using semantic segmentation methods in deep learning☆311Updated 2 years ago
- Open solution to the Mapping Challenge☆387Updated 4 years ago
- Winning building footprint detector implementations from the SpaceNet challenges.☆157Updated 8 years ago
- Road network extraction from satellite imagery, with speed and travel time estimates☆191Updated 2 years ago
- Rapid satellite imagery object detection☆221Updated 5 years ago
- The winning solutions for the SpaceNet 6 Challenge☆74Updated 4 years ago
- We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in dense…☆95Updated 3 years ago
- Geoseg - A Computer Vision Package for Automatic Building Segmentation and Outline extraction☆110Updated 4 years ago
- Winning algorithms for the SpaceNet 4: Off-Nadir Building Footprint Detection Challenge☆174Updated 4 years ago
- Mask-RCNN baseline for the crowdAI Mapping Challenge☆260Updated 4 years ago
- List of labelled remote sensing datasets for use in deep learning.☆58Updated 8 years ago
- Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge☆167Updated 7 years ago
- ☆46Updated 7 years ago
- Urban change model designed to identify changes across 2 timestamps☆61Updated last year