Instance Segmentation

Instance segmentation essentially takes the concept of semantic segmentation and applies it to every object of interest/every instance within an image. This means that instead of labeling people as one group comprising a “person” class, every individual in the image is assigned a different class, classifying every instance of that object.

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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

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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.