The client is a firm who builds economic indicators using machine learning and remote sensing technologies. The client wants to build a solution which can detect iron ore volumes from high-resolution satellite imagery.

• To develop a computer vision architecture to obtain the iron ore volume from high-resolution satellite imagery.
• To suggest methods to productionalize the process starting from raw data to get iron ore volume.

• All required information about data are collected from the client .
• Downloaded the images from sentinelhub and understood the data, image extraction process and image annotation.
• Researched the techniques to annotate the images.
• Researched and applied the possible techniques or architecture can be used to detect iron ore.
• Leveraged deep learning classification model to classify images with or without iron ore.
• Leveraged deep learning segmentation model to segment the iron ores.

Iron ore volume can be detected and calculated using developed solution rather than manually measuring the iron ores.