YoVDO

How to Significantly Enhance YOLOv8 with SAHI

Offered By: Eran Feit via YouTube

Tags

YOLO Courses Machine Learning Courses Deep Learning Courses Python Courses Computer Vision Courses Object Detection Courses Image Processing Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to integrate the SAHI (Slicing Aided Hyper Inference) library with YOLOv8 to enhance object detection and instance segmentation in this comprehensive tutorial video. Follow step-by-step instructions for installation and implementation, comparing SAHI-enhanced YOLOv8 performance to standard YOLOv8 object detection. Explore key features of SAHI, run predictions using sliced and standard methods, and visualize the results. Gain practical insights to improve your object detection projects and leverage the power of SAHI in computer vision applications.

Syllabus

How to Significantly Enhance Yolov8 with SAHI


Taught by

Eran Feit

Related Courses

Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Detección de objetos
Universitat Autònoma de Barcelona (Autonomous University of Barcelona) via Coursera Deep Learning Summer School
Independent Deep Learning in Computer Vision
Higher School of Economics via Coursera Computer Vision and Image Analysis
Microsoft via edX