Understand Landsat mask layer classification

Hello,

I’m using Sentinel hub py in order to mask clouds from landsat 8 images.
I am using the cloud confidence layer for this image:

in the documentation , it says that vaues 1-2-3 indicate cloud confidence (for a certain level), and 0 means no cloud or not determined. However, when I print the cloud layer this is what I get:

as it can be seen from the colorbar, seems like the cloud was detected, however, it gets value 0 , meaning no confidence at all that this is cloud?
I’m a bit confused, why the cloud classified as 0? is this mistake of the classification or I underrstood that layer wrong?

Best

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Hi,

Zero doesn’t necessarily mean “no confidence” but can also mean that the algorithm did not determine the status of this condition. See page 56 of the data users handbook.