Samarth Bachkheti
Samarth Bachkheti is a geophysicist and AI practitioner specializing in seismic imaging, quantitative interpretation, and geomechanical assessment for offshore energy projects. With expertise in machine learning applications for geoscience, he leads the development of deep-learning tools for seabed imaging and offshore site assessments. His recent work focuses on deep learning for underwater object detection, integrating AI into geophysical workflows to enhance efficiency and accuracy in offshore engineering. He has presented at industry conferences and actively collaborate with research institutions to advance AI adoption in geoscience.
Session
This talk explores the application of deep learning in automating object detection using high-resolution seabed images. I will discuss the challenges of working with seabed datasets, strategies for training AI models with limited labelled data, and key considerations when choosing a deep learning framework for geospatial analysis. Using offshore wind farm site assessments as a case study, I will provide practical insights on image pre-processing, model selection, and workflow integration to enhance efficiency in marine geospatial data analysis.