dronedeploy / dd-ml-segmentation-benchmark
DroneDeploy Machine Learning Segmentation Benchmark
☆217Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for dd-ml-segmentation-benchmark
- Baseline localization and classification models for the xView 2 challenge.☆201Updated last year
- The winning solutions for the SpaceNet 6 Challenge☆74Updated 3 years ago
- This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.☆150Updated 4 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
- Repository for SEN12MS related codes and utilities☆99Updated 3 months ago
- Road and Building Segmentation in Satellite Imagery☆135Updated last year
- Winning Solutions from SpaceNet Road Detection and Routing Challenge☆205Updated last year
- Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.☆187Updated last year
- Satellite Imagery Feature Detection with SpaceNet dataset using deep UNet☆309Updated 5 years ago
- PyTorch implementation for multi-task learning with aerial images for the datasets: IEEE Data Fusion Contest 2018 (DFC2018) and ISPRS-Va…☆82Updated 4 years ago
- 1st place solution for "xView2: Assess Building Damage" challenge.☆85Updated last year
- Regularization of Building Boundaries using Adversarial and Regularized losses☆127Updated last year
- 1st place solution for "xView2: Assess Building Damage" challenge.☆66Updated 3 years ago
- ☆72Updated 6 months ago
- Winning algorithms for the SpaceNet 4: Off-Nadir Building Footprint Detection Challenge☆173Updated 4 years ago
- 🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.☆393Updated 4 years ago
- Satellite Image Classification using semantic segmentation methods in deep learning☆302Updated last year
- ☆196Updated 3 months ago
- A huge dataset for binary segmentation of clouds in satellite images☆46Updated 3 years ago
- Multi-Class Semantic Segmentation on Dubai's Satellite Images.☆80Updated last year
- We propose a simple yet efficient technique to leverage semantic segmentation model to extract and separate individual buildings in dense…☆91Updated 2 years ago
- Simple Baseline for the IEEE GRSS Data Fusion Contest 2020☆64Updated 4 years ago
- Road network extraction from satellite imagery, with speed and travel time estimates☆186Updated 2 years ago
- Experiments with satellite image data☆119Updated 5 years ago
- mxnet source code for the resuneta semantic segmentation models☆128Updated 4 years ago
- Using Pytorch implementation of U-Net architecture for road and building extraction☆119Updated 5 years ago
- PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-At…☆188Updated 2 years ago
- A semantic segmentation CNN for cloud detection☆100Updated 3 years ago
- Road network extraction from satellite imagery, with speed and travel time estimates☆67Updated 4 years ago
- Geoseg - A Computer Vision Package for Automatic Building Segmentation and Outline extraction☆105Updated 3 years ago