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advanced-applied-deep-learning

Source Code for 'Advanced Applied Deep Learning' by Umberto Michelucci

agoro-field-boundary-detector

Detect field boundaries using satellite imagery.

agridatasets

Agricultural datasets

agrodatasets

Datasets for agriculture and applied biology

boundary_loss_for_remote_sensing

Pytorch re-implementation of boundary loss, proposed in "Boundary Loss for Remote Sensing Imagery Semantic Segmentation"

coastsat

Global shoreline mapping tool from satellite imagery

color_balance

Balance your colors!

complete-data-science

This repository contains everything you need to become proficient in Data Science

data-analysis

Data Science Using Python

data-science-projects-yieldprediction

Explore my diverse collection of projects showcasing machine learning, data analysis, and more. Organized by project, each directory contains code, datasets, documentation, and resources. Dive in, to discover insights and techniques in data science. Reach out for collaborations and feedback.

datapane

Datapane is the easiest way to create data science reports from Python.

detection-label-tool

label wheat spikes

dexined

DexiNed: Dense EXtreme Inception Network for Edge Detection

discovery-asf_search

earthengine-api

Python and JavaScript bindings for calling the Earth Engine API.

eurosat

EuroSAT: Land Use and Land Cover Classification with Sentinel-2

farmplotter

The following is a Matlab script that uses image processing to determine the number of farm plots in an image and print their area in pixels

field-delineation

Field delineation with Sentinel-2 data from Sentinel-Hub and a ResUnet-a architecture.

fireclr-wildfires

Unsupervised Wildfire Change Detection based on Contrastive Learning

instancesegmentation_sentinel2

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

ipyannotations

Data annotations in python using jupyter notebooks

iris

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

labeller

Labelling platform for Mapping Africa active learning project

land-cover-classification-using-sentinel-2-dataset

Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.

landtrendr-ccdc

Tool to compare the outputs of the LandTrendr and CCDC algorithms for a single Landsat pixel

materials

Bonus materials, exercises, and example projects for our Python tutorials

metrica

Prediction Performance Metrics

mlhub-tutorials

Tutorials to access Radiant MLHub Training Datasets

models_tensorflow

Models and examples built with TensorFlow

openearthenginelibrary