How to Significantly Enhance Yolov8 with SAHI
Welcome to our tutorial on integrating the SAHI (Slicing Aided Hyper Inference) library with YOLOv8 for enhanced object detection and instance segmentation! In this video, we'll guide you through the entire process, from installation to implementation, ensuring you can leverage the power of SAHI to improve your object detection projects.
What You'll Learn:
Introduction to SAHI and YOLOv8:
Overview of the SAHI library and its key features.
Installing SAHI and YOLOv8.
Running Predictions , Performing sliced and standard predictions using YOLOv8 with SAHI and compare it to the "out of the box" YoloV8 object detection
Visualizing Results !!
Code for the tutorial : https://ko-fi.com/s/44116d7409
You can find more computer vision tutorials in my blog page : https://eranfeit.net/blog/
You can find more projects and tutorials in this playlist : • Best Object Detection models
~~~~~~~~~~~~~~~ recommended courses and books ~~~~~~~~~~~~~~~
A perfect course for learning modern Computer Vision with deep dive in TensorFlow , Keras and Pytorch . You can find it here : http://bit.ly/3HeDy1V
I also recommend this book, https://amzn.to/44GnlLW : "Make Your Own Neural Network - An In-depth Visual Introduction For Beginners ".
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~~~~~~~~~~~~~~ Credits ~~~~~~~~~~~~~
Music by Vincent Rubinetti
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