In the image, I only trained the brand text but selected the whole caps. After trained, I test it in the roboflow live webcam and it also detects the flip cap. How can I solve it? Should I train only the design inside the cap?
Computer vision models are trained to detect things that are similar to the ones they are trained with. Your model needs to learn that there’s a distinction to be made between the two. Usually, more training data solves this problem:
- Add more images that include your “flipped cap”, then:
- Make sure not to annotate them, making then a null annotation
- Or label them as a different class from the object that you want to detect.
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