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#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:
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