Hello trend,
This is Satya Mallick from LearnOpenCV.com.
Image segmentation is a core vision problem that gives you the boundaries of objects in an image. Instance segmentation, i.e., object detection + segmentation, is even more powerful as it allows us to detect and segment objects in a single pipeline. Ultralytics YOLOv8 models offer a simple pipeline.
In today's article, We will learn the following:
- Training of three versions of Instance segmentation models models, namely, YOLOv8 Nano, YOLOv8 Small, and YOLOv8 Medium.
- Analyze the results for each of the models.
- Perform video inferences using the trained models.
So without further ado, let's jump into the post
| Train YOLOv8 Instance Segmentation on Custom Data |
Accompanying code for the blog post can be found here:
| Download Code |
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Cheers,
Satya
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