How can I improve AI segmentation in my projects?
To improve AI segmentation, consider using more diverse training data and advanced algorithms like U-Net or Mask R-CNN.
What types of data should I include for better segmentation?
Include a variety of images with different backgrounds, lighting conditions, and object sizes to enhance model robustness.
Are there any specific tools or libraries you recommend?
Yes, libraries like TensorFlow, PyTorch, and OpenCV are great for implementing segmentation models.
How do I evaluate the performance of my segmentation model?
You can use metrics like Intersection over Union (IoU), pixel accuracy, and F1 score to evaluate your model's performance.
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