How do I update my segmentation models effectively?
To update your segmentation models, you should start by gathering new training data that reflects the current trends.
What kind of new data should I collect?
Focus on collecting data that includes recent examples and variations that your model may not have encountered before.
How often should I update my models?
It's best to update your models regularly, ideally every few months, or whenever you notice a drop in performance.
Are there any tools that can help with this process?
Yes, tools like TensorFlow, PyTorch, and specialized libraries for segmentation can streamline the updating process.
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