google-research / google-research/big_vision

Fine-tune Paligemma model for segmentation task is failing

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Description

Hello:
I want to use Paligemma to segment water in satellite images. However, I haven't been able to find any documentation on how to scale the points inside my mask to be able to use them in Paligemma.
So far I have done the following:

Variables:
(x, y): is 1 point of the 8 needed.
w, h = width, height of the bounding box

I do the following transformation of x and y:

x_paligemma = xw / 64
y_paligemma = yh / 64

When I try to fine-tune the Paligemma model on this transformation, I obtain empty predictions.

Could you please tell me how can I prepare the segmentation points to have results in my model?

Thank you so much for your response!

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Research direction

The issue names no repository files, tests, or entry points. Start by locating the PaliGemma segmentation fine-tuning examples and documentation, then compare the reported point transformation with the expected input format; done means obtaining non-empty segmentation predictions for the stated satellite-image task.

Written by the indexing model from the issue text.

Assessment

Domain
computer-vision, machine-learning
Issue type
Bug
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
15/100

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