SpaceNetChallenge / BuildingDetectors_Round2
Building detector algorithms from second SpaceNet Challenge
☆192Updated 4 years ago
Related projects: ⓘ
- Winning Solutions from SpaceNet Road Detection and Routing Challenge☆204Updated last year
- Winning building footprint detector implementations from the SpaceNet challenges.☆156Updated 7 years ago
- 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
- Dstl Satellite Imagery Feature Detection☆145Updated 6 years ago
- Mask-RCNN baseline for the crowdAI Mapping Challenge☆255Updated 3 years ago
- Code for a winning model (3 out of 419) in a Dstl Satellite Imagery Feature Detection challenge☆167Updated 6 years ago
- Python code to evaluate the APLS metric☆103Updated 4 years ago
- Baseline models, scoring, and inference for the xView 2018 Challenge (i.e., xview1)☆76Updated 6 years ago
- Open source notebooks to create state-of-the-art detection, segmentation, & classification of buildings on drone/aerial imagery with deep…☆195Updated 4 years ago
- Deep networks for Earth Observation☆474Updated 4 years ago
- Road Segmentation in Satellite Aerial Images☆56Updated 4 years ago
- Geoseg - A Computer Vision Package for Automatic Building Segmentation and Outline extraction☆104Updated 3 years ago
- Winning algorithms for the SpaceNet 4: Off-Nadir Building Footprint Detection Challenge☆172Updated 4 years ago
- Open solution to the Mapping Challenge☆380Updated 3 years ago
- Baseline localization and classification models for the xView 2 challenge.☆198Updated last year
- List of labelled remote sensing datasets for use in deep learning.☆58Updated 7 years ago
- Examples of using Raster Vision on open datasets☆172Updated 4 years ago
- Kaggle DSTL Satellite Imagery Feature Detection☆207Updated 6 years ago
- Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun.☆501Updated last year
- Experiments with satellite image data☆117Updated 4 years ago
- Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.☆181Updated last year
- ☆31Updated 7 years ago
- Space Net Three Competition code☆93Updated 6 years ago
- Pipeline for the Semantic Segmentation (i.e., classification) of Remote Sensing Imagery☆96Updated 9 months ago
- Data Preparation for Satellite Machine Learning☆460Updated 11 months ago
- 🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.☆390Updated 4 years ago
- Road network extraction from satellite imagery, with speed and travel time estimates☆182Updated 2 years ago
- ☆103Updated this week
- SegNet-like network implemented in TensorFlow to use for segmenting aerial images☆101Updated 5 years ago
- Satellite Image Classification using semantic segmentation methods in deep learning☆297Updated last year