azavea / open-cities-ai-challenge-benchmark-modelLinks
Benchmark model for DrivenData Open Cities AI Challenge
☆23Updated 5 years ago
Alternatives and similar repositories for open-cities-ai-challenge-benchmark-model
Users that are interested in open-cities-ai-challenge-benchmark-model are comparing it to the libraries listed below
Sorting:
- Winners of the Open Cities AI Challenge competition☆124Updated 2 years ago
- Experiments with satellite image data☆123Updated 6 years ago
- Deep learning pretrained model on satellite imagery (Sentinel-2)☆82Updated 6 years ago
- A sample project demonstrating how to extract building footprints from satellite images using a semantic segmentation model. Data from th…☆108Updated 5 years ago
- List of labelled remote sensing datasets for use in deep learning.☆59Updated 8 years ago
- Mask R-CNN in GRASS GIS☆41Updated 4 years ago
- Deep learning courses and projects☆95Updated 7 years ago
- The SpaceNet 7 Baseline Algorithm☆34Updated 5 years ago
- Satellite image processing pipeline to classify land-cover and land-use☆88Updated 8 years ago
- Code for training and testing deep learning based land cover models.☆95Updated 2 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
- A pytorch implementation of the (Tensorflow) MTLCC network implementation☆50Updated 6 years ago
- Dstl Satellite Imagery Feature Detection☆145Updated 8 years ago
- A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images☆41Updated 2 years ago
- We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in dense…☆97Updated 3 years ago
- 8th place solution to Zindi's FarmPin Crop Detection Challenge☆137Updated 5 years ago
- Code for constructing the urban environments dataset and for land use classification via convolutional neural networks☆120Updated 7 years ago
- Land Cover Mapping☆202Updated 2 years ago
- Land Use Classification using Convolutional Neural Network in Keras☆51Updated 8 years ago
- Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery☆61Updated 6 years ago
- Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)☆194Updated 4 years ago
- ☆46Updated 7 years ago
- Remote sensing with Python tutorials☆50Updated 5 years ago
- Deep learning applied to georeferenced datasets☆187Updated last week
- Road network extraction from satellite imagery, with speed and travel time estimates☆196Updated 3 years ago
- Winning Solutions from SpaceNet Road Detection and Routing Challenge☆214Updated 2 years ago
- A tool for running deep learning algorithms for semantic segmentation with satellite imagery☆82Updated 2 years ago
- ☆16Updated 5 years ago
- 🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.☆397Updated 5 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