PixCon

Clean-Positive Contrastive Learning for Foundation-Model Semi-Supervised Segmentation
DINOv2-Base encoder. Upload an image and pick a label set, or click an example below. The first run per model warms up (~1 min on CPU); after that it is fast.
Label set / model
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Detected classes
Run a segmentation to see detected classes.
Examples (click to run)
Input Label set / model Overlay opacity