I’m trying to solve a problem where I’m trying to train a network for instance segmentation. Here, unlike the examples present in natural images, most of the masks overlap with each other. Here’s an example with 2 masks that I expect. Notice the significant overlap.

https://imgur.com/a/QJQB7MM

I’m trying to go about this with Matterport’s Mask RCNN implementation. And first attempt of results weren’t great. But, I’m just starting, and I probably am not configuring it correctly (to train). But, just in case this is impossible to do or there’s a better way to do this, I thought I’d ask this community.