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What is Thermal Object Detection with YOLOv5 about?

This document outlines a tutorial on detecting objects in thermal images using Deep Learning with PyTorch and YOLOv5. It covers the necessary setup, including the use of the FLIR Thermal Starter Dataset, and provides step-by-step instructions for training a model to identify objects like cars, people, bicycles, and dogs. The tutorial is part of a four-part series on Infrared Vision Basics, culminating in the practical application of thermal object detection.

Author

shekar

Language

EN