Closed dk-teknologisk-mlnn closed 6 days ago
👋 Hello @dk-teknologisk-mlnn, thank you for your interest in Ultralytics 🚀! We recommend checking out our comprehensive Docs for insights into using our tools effectively. You’ll find many resources such as Python and CLI guides, which may already have answers to your questions.
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It appears that your segmentation model faces an issue where it doesn't detect more than 15 instances in your multi-class setup. Please double-check your settings, including the model configuration and post-processing parameters like the confidence threshold or Non-Maximum Suppression (NMS) behavior. If possible, share additional details or code snippets regarding the adjusted "max detections" setting for further clarity.
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wow, that is a very good explanation haha, thanks.
@dk-teknologisk-mlnn You're welcome.
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Question
I trained a seg model to find cakes. and it works great. It finds all cakes, also in the final prediction output. then I added classifications to teh cake. Have 4 classes. Training metrics are great. but after training it outputs the "_label -> _pred " mosaics, and there it finds max 15 cakes in all images. ( there's ~30)
I tried to increase "max detections" from 300 to 3000. but its the same.
Where does this max 15 come from ?
Additional
No response