Object Segmentation

This is an enhancement of object detection, where the marking occurs at the shape level of the object, or in other words, at the pixel level. This is used for more detailed annotation needs, for example in the medical field to mark anomaly shapes in X-ray images.

Pixel-Level Precision

Accurately segments objects at the pixel level for detailed shape analysis.

Multi-Class Segmentation

Simultaneously identifies and segments multiple object classes in complex scenes.

Medical Imaging

Precise anomaly detection in X-rays, MRIs, and CT scans

Instance Segmentation

Differentiates between multiple objects of the same class

Edge-Aware

Maintains sharp boundaries and fine details

Segmentation Visualization

Original Image
Tumor: 94%
Lesion: 88%
Organ: 97%

Example medical image segmentation with transparent masks

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