How to Train YOLOv8 Instance Segmentation on a Custom Dataset

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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:
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[@SurendraSingh-vlog4]

Nice 👍

[@shorttimelife-rn4xr]

❤🎉😊

[@FatimaKhokhar-q8q]

Nice 👍

[@shorttimelife-rn4xr]

❤

[@FatimaFatima-u4f3p]

Nice 👍

[@jayathissaaral2598]

Can you provide correct github code link plz

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github.com/noorkhokhar99/How-to-Train-YOLOv8-Instance-Segmentation-on-a-Custom-Dataset

[@aneerimmco]

Very Nice.

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Keep it up bro… 👍

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