Annotation for binary image segmentation in Prodigy?

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I'm currently not aware of Prodigy being able to turn the drawn shapes into image masks. You'd need a separate, custom, Python script for that. That said, I think the Python image library can be very helpful here.

import numpy as np
from PIL import Image 

img = Image.open("path/to/img.png").convert("RBG") 
arr = np.array(img)

This gives you a numpy array arr that represents the images' RGB values. If you have a simple shape, like a square, then you might be able to assign a mask via:

mask = np.zeros_like(arr)
mask[20:300, 40:200] = 1

I hope this helps!