Improving Object Detection Accuracy with Similar-Looking Objects

Hello everyone,

I’ve successfully trained Edge Impulse to recognize two different objects (F1 score = 1), and the object detection works well with these. However, I’ve noticed an issue: when I hold additional objects that look similar to the ones I trained, the system mistakenly identifies them as the trained objects.

Does anyone have tips on improving the model’s accuracy to avoid these false identifications, especially with similar-looking objects? Thanks in advance for any advice!