Learn how to implement YOLOv3 from scratch using PyTorch in this comprehensive tutorial video. Dive deep into the differences between YOLOv1 and YOLOv3, explore the architecture implementation, and master dataset loading for MSCOCO and Pascal VOC. Gain hands-on experience with loss function implementation and setting up the training process. Follow along as the instructor guides you through each step, from recapping YOLO basics to finalizing the training setup. Perfect for those looking to enhance their computer vision skills and understand object detection algorithms in-depth.
Overview
Syllabus
- Introduction
- Recap of YOLO
- YOLOv3 vs YOLOv1
- Model implementation
- Dataset class
- Loss implementation
- Config file
- Training
- Ending
Taught by
Aladdin Persson
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