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Extract Specific Segmented Regions


Extract a specific semantic region from segmentation output by selecting its class. Select a class (e.g., "sky", "person", "car"), and the tool isolates only that region, masking or cropping the rest. Perfect for targeted processing of specific semantic elements in images

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What it does

Color Pick by Class works with segmentation model outputs to extract specific semantic regions by their assigned class labels. You select a target class from the available segmentation classes, and the tool isolates that region—either as a mask (isolated region with transparency) or as a cropped image. Essential for semantic-aware image processing and targeted region extraction.

Problem it solves

Input/Output

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How to Use

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0207 (2).mp4

  1. Load segmentation → Get output from segmentation model (DeepLabV3, SegFormer, etc.)
  2. Select class → Choose target class from available classes (e.g., "sky")
  3. Generate output → Tool extracts selected class region
  4. You can keep the segmented color if you check ‘keep_color for conditional’ </aside>

Note: Color Pick by Class requires a segmentation model output with class labels. It extracts/isolates specific semantic regions by class. Perfect for semantic-aware image processing, targeted region extraction, and creative compositing workflows.