Develop a satellite image classification model to identify land cover types.
Land cover types includes forest, highway, residential, water bodies etc. (based on the dataset available in this domain)
This project contributes to the broader goal of understanding and classifying land cover types from satellite imagery, which has applications in environmental monitoring, urban planning, and agriculture.
It will include EDA, classification(using Deep Learning models, CNN and transfer learning models) and finally the fine tuning and output analysis.
Description-
Develop a satellite image classification model to identify land cover types. Land cover types includes forest, highway, residential, water bodies etc. (based on the dataset available in this domain) This project contributes to the broader goal of understanding and classifying land cover types from satellite imagery, which has applications in environmental monitoring, urban planning, and agriculture.
It will include EDA, classification(using Deep Learning models, CNN and transfer learning models) and finally the fine tuning and output analysis.