Satellite Image Classification – Comparative Study

Academic & Group Projects

Description:

A comparative machine learning study evaluating multiple classification models on satellite imagery, focusing on performance analysis using accuracy, precision, recall, and F1-score metrics.

Python

Machine Learning

CNNs,
DNNs,
Temporal Network

Model Evaluation

Contribution:

My contributions included model implementation, performance evaluation, and comparative analysis.