Satellite Image Classification using semantic segmentation methods in deep learning

Satellite images classification

Few-shot satellite image classification for bringing deep learning on board OPS-SAT

This repository contains code for building a deep learning model to classify satellite images into different categories such as Cloudy, Desert, Green Area, and Water.

DL model deployment using docker, API deployment with FastAPI, and MLOps using WandB for overhead-mnist dataset

Train AI models on satellite image dataset to classify different types of land.

2nd place solution for AI4EO MapYourCity Challenge: https://platform.ai4eo.eu/map-your-city