Object segmentation is useful when bounding boxes are not precise enough and you need a per-pixel mask. It helps with subject isolation, scene review, prototype workflows, semantic class masking, and mask-based editing tasks where the exact silhouette matters more than a rough rectangle.
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Pixlane
Preparing the tool on your device
Pixlane is loading locally. Supported local media processing, no signup, and supported file contents are not uploaded for processing.
Upload an image or video to segment foreground objects with YOLO instance masks, FastSAM mask proposals, or MobileNetV3 semantic class masks.
Supported media processing happens on your device. Supported file contents are not uploaded for processing: supported local media processing, no server, no signup required.
Frequently Asked Questions
What objects can it segment?
YOLO, YOLOE, and FastSAM cover common COCO-style objects. MobileNetV3 LR-ASPP adds semantic classes such as person, sofa, car, dog, cat, bottle, train, and tv.
Which model should I choose?
Keep YOLO26 Nano for the fastest default path, choose larger YOLO variants for instance masks, or use MobileNetV3 LR-ASPP when semantic class masks are a better fit.
Is Object Segmentation free to use?
Yes, Object Segmentation on Pixlane currently requires no signup for core use; outputs add no Pixlane watermark; tool-specific limits may apply. No account, no signup, and no watermark on downloaded files.
How do overlap controls affect segmentation?
Overlap suppression helps separate neighboring object masks when instances touch or partially overlap. Lower values split crowded objects more aggressively, while higher values preserve merged groupings.
