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Using more accurate off-the-shelf model for labeling image patches #57

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yc015 opened this issue Mar 6, 2023 · 0 comments
Open
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Using more accurate off-the-shelf model for labeling image patches #57

yc015 opened this issue Mar 6, 2023 · 0 comments
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enhancement New feature or request low priority Can work on later

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yc015 commented Mar 6, 2023

The annotation from FCN is okay. There is no significant error but can still be improved.

For example,
image

Part of the person (highlighted in yellow in the segmentation map) was not recognized by FCN (see the bottom right part). This kind of errors can be corrected manually but it's tedious to do. Replacing FCN with a more powerful automated segmentation model may be a better approach.

  • Try more powerful segmentation model for automated image patches annotations.
@yc015 yc015 self-assigned this Mar 6, 2023
@yc015 yc015 added enhancement New feature or request low priority Can work on later labels Mar 6, 2023
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enhancement New feature or request low priority Can work on later
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