How to Train YOLOv8 Instance Segmentation on a Custom Dataset

#Pyresearch #ComputerVision #opencv
Custom trained YOLOv8 Instance Segmentation model enables the development of various applications, including:
Autonomous vehicle systems: Accurate car part segmentation helps autonomous vehicles comprehend their surroundings and make informed decisions.
Car repair and maintenance: The model assists in identifying damaged or faulty car parts, aiding mechanics in diagnosis and repair.
Manufacturing and quality control: By segmenting car parts on production lines, the model ensures component quality, streamlining quality control processes.
Here's an example image demonstrating car part segmentation achieved using the YOLOv8 model:
Resources:
🌏 pyresearch: pyresearch.org
code: github.com/noo...
Support the content: pyresearch.org...
Channel membership: / @pyresearch
Facebook: / pyresearch
KZbin: / pyresearch
medium: / pyresearch
Instagram: / pyresearch
LinkedIn: / pyresearch
Twitter: / noorkhokhar10
Discord: / discord
Github: github.com/Pyr...
Quora: www.quora.com/...
Github: github.com/noo...