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Certainly! To improve your Amazon Rekognition Custom Labels model:
- Define the attributes you want to identify.
- Collect relevant data.
- Add negative labels for better accuracy.
You’re on the right track!
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This blog post covers negative labels with Rekognition.
https://aws.amazon.com/blogs/machine-learning/tips-to-improve-your-amazon-rekognition-custom-labels-model/
Hope this helps!
Thanks for the response. I have gone through the link you shared. I still have doubt regarding this. I am using a bounding box for detecting an object. When you say the negative label then for such an image what bounding box shall i provide? This creates another scenario for me. If i provide the classification label instead of bounding box detection then do i also need to provide the true class classification label for training the custom model?
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When you mention negative labels, what should i exactly do here. I do not understand the last bullet point. Thanks for the help