Использовать маску-РЕН или унет для расчета угла многократного рассады

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Hello i'm currently working on a project where i have to use instance segmentation of different parts of seedlings (the top part and the stem) Example image: https://imgur.com/kWAZBed I have to be able to calculate the angle of the hook for every seedling.

I've heard that the Mask-RCNN instance segmentation method might not be good for biological images, so should i go with U-net semantic segmentation instead?. The problem with U-net is that every seed and root gets categorized into two classes, where as i need to calculate the angle for each of them.

Some input would be appreciated.

Что я уже пробовал:

Я пытался использовать маску-Рен на предыдущих проектах с не очень хорошими результатами.

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