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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
- Extract semantic regions – Isolate specific objects by class (sky, person, car, etc.)
- Targeted processing – Apply operations to only specific semantic regions
- Region isolation – Focus on objects of interest, hide everything else
- Class-based filtering – Work with only selected semantic categories
- Semantic cropping – Crop to include only specific classes
- Multi-region workflows – Extract different regions for different processing
- Focused analysis – Analyze only relevant semantic regions
- Creative region selection – Artistic/creative selection by semantic meaning
Input/Output
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- Input: Segmentation output + Class selection
- Segmentation: Output from segmentation model (DeepLabV3, SegFormer, MaskFormer, etc.)
- Class selection: Select target class from available segmentation classes
- Segmentation classes: Model-dependent
- Format: Any segmentation model output with class labels
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- Output: Extracted region - Binary mask showing only selected class (white = selected, black = rest)
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How to Use
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0207 (2).mp4
- Load segmentation → Get output from segmentation model (DeepLabV3, SegFormer, etc.)
- Select class → Choose target class from available classes (e.g., "sky")
- Generate output → Tool extracts selected class region
- You can keep the segmented color if you check ‘keep_color for conditional’
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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.