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TZID:Europe/Warsaw
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DTSTART:20250330T030000
RDATE:20260329T030000
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SUMMARY:Python for subsea engineering: A case study on seabed object detec
 tion using AI/ML - Samarth Bachkheti
DTSTART;TZID=Europe/Warsaw:20250820T110500
DTEND;TZID=Europe/Warsaw:20250820T113500
DTSTAMP:20260913T114905Z
UID:pretalx-euroscipy-2025-9F88K8@pretalx.com
DESCRIPTION:This talk explores the application of deep learning in automat
 ing object detection using high-resolution seabed images. I will discuss t
 he 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 far
 m site assessments as a case study\, I will provide practical insights on 
 image pre-processing\, model selection\, and workflow integration to enhan
 ce efficiency in marine geospatial data analysis.
LOCATION:Room 1.20 (Ground Floor\, Shannon)
URL:https://pretalx.com/euroscipy-2025/talk/9F88K8/
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