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Image Segmentation Process Explained - From Original to Binary Mask #2308631 (License: Personal Use)

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Three-panel illustration showing object segmentation: red regions (1), binary mask (2), and refined mask with edge lines (3).

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Panel 1 shows three red irregular shapes on a white background with faint gray sketch-like lines, representing initial object labeling. Panel 2 converts those regions into solid black blobs against white-a clean binary mask. Panel 3 adds back thin gray lines to indicate object boundaries, illustrating post-processing refinement for edge accuracy.
Used in educational or technical documentation for computer vision, especially tutorials on semantic segmentation, mask generation, or preprocessing for deep learning models. Matches user intent to understand how raw annotations become usable masks.
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Related Cliparts: Visual guide to image segmentation: original objects, binary mask conversion, and edge-refined output. Ideal for computer vision learners and developers.

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