Panoptic Segmentation

Combining semantic and instance segmentation results with panoptic segmentation. Semantic segmentation is used to label “stuff” - objects harder to quantify, and instance is used to label “things” - objects that could have more than 1 countable instance. Having stuff and things in the same image is provided by an image annotation method called panoptic segmentation.

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Choose the most suitable annotation service for your project, or contact us to find the best fit together.

Image Annotations Services

We can provide any annotation service you imagine - from simpler methods at a lower cost to advanced expensive methods with high accuracy. Combine our experience with your needs to achieve the best possible results.

Bounding Boxes

Accurate and Correct Annotations. Guaranteed!

Our in-house professionals, using our image annotation tools with built-in machine learning and multiple layers of quality control, create the tightest and most accurately bounding boxes for computer vision and deep learning applications.

Instance Segmentation

Accurate and Correct Annotations. Guaranteed!

Each pixel in an image is mapped into specific classes; for example 'cars' and 'pedestrians' in autonomous driving data.

Semantic Segmentation

Accurate and Correct Annotations. Guaranteed!

Every pixel in an image is mapped to specific classes. Regularly used in drone and autonomous driving technology.

Video Annotation

Accurate and Correct Annotations. Guaranteed!

Each frame or key-frames annotated with or without object tracking.