deepbands / deep-learning-datasets-maker
Deep Learning Datasets Maker is a QGIS plugin to make datasets creation easier for raster and vector data.
☆48Updated 2 years ago
Alternatives and similar repositories for deep-learning-datasets-maker:
Users that are interested in deep-learning-datasets-maker are comparing it to the libraries listed below
- ☆50Updated last year
- ☆64Updated 8 months ago
- Repository containing code used to produce computer vision models that can identify infrastructure in publicly available satellite imager…☆23Updated last week
- End-to-end workflow for generating high resolution cropland maps☆106Updated 2 weeks ago
- Annotation of datasets for deep learning applied to satellite and aerial imagery☆42Updated 4 months ago
- Image segmentations of trees outside forest☆161Updated last month
- The Geometric Attributes toolbox is a set of QGIS tools designed for the geometric attribute and shape characterization of modern deposit…☆79Updated last year
- Orthogonalize polygon in python by making all its angles 90 or 180 deg☆66Updated 4 years ago
- 🌴 A dataset for estimating tropical forest biomass based on drone and field data☆75Updated 2 years ago
- PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.☆42Updated 6 months ago
- Dataset for training and evaluating tree detectors in urban environments with aerial imagery☆32Updated 8 months ago
- This repository contains the classification module of the WorldCereal system.☆44Updated this week
- Remote Sensing and GIS Software Library; python module tools for processing spatial data.☆145Updated this week
- Releasing building footprint polygons for Kenya and Nigeria derived from satellite imagery using machine learning☆38Updated 3 months ago
- A toolkit that enables building damage assessments from remotely sensed imagery.☆89Updated 3 months ago
- Library to create Multi Seasonal remote sensing indexes composites☆27Updated last year
- williamlidberg / Mapping-drainage-ditches-in-forested-landscapes-using-deep-learning-and-aerial-laser-scanningThis project aims to map small ditches from high resolution LiDAR data using deep learning☆25Updated last year
- The Google Earth Engine data catalog in CSV format☆25Updated this week
- Earth observation framework for scaled-up processing in Python☆40Updated 3 months ago
- A Python package for installing optional dependencies for geemap and leafmap.☆52Updated last week
- Code for running baseline models/experiments with the Fields of The World dataset☆71Updated last month
- ☆12Updated 3 years ago
- Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.☆152Updated last year
- Experimental: connect ChatGPT to a STAC API backend☆52Updated last year
- VGG-16 Model to Segment Rooftops from Aerial Imagery☆31Updated last year
- This repository contains the computer code of a semi-automated framework for land cover mapping using OBIA and local USPO☆17Updated 4 years ago
- A list of STAC endpoints for the AWS Open Data Program☆24Updated 5 months ago
- An open-source semi-automated processing chain for urban OBIA classification.☆77Updated 4 years ago
- ☆29Updated 2 years ago
- OrthoSeg makes it easy to train neural networks to segment orthophotos.☆30Updated 2 weeks ago