Top 5 Image Annotation Techniques

The image bounding box annotation technique is used to outline the objects in two dimensions so that the computer vision-based models can identify them easily. It is used for sports analytics; tagging damaged motor vehicle parts, detect lanes, potholes, etc.

This image annotation technique is used for pixel-level labeling. Semantic segmentation is used to detect a defined object by zooming in on every pixel. Training datasets for self-driving cars and autonomous vehicles are prepared via this technique.

It is also known as 3D cuboid annotation, which includes marking objects in the third-dimension sketching formats. It allows the computer vision models to calculate the depth or distance of different objects such as buildings, gadgets, vehicles, etc. This technique is used for construction and building structure field as well as radiology imaging in medical fields.

This technique is different from others such as image bounding box annotation, 3D cuboids, polygons, etc. Line annotation is appropriate for drawing attention to important areas such as decoration or diagramming the process flow, roads, or streets to help the machines get a clear view of their environment.

Polygonal is one the smartest and fastest method of labeling different types of objects. In this technique, the borders are drawn around the figures in the frame to help machine learning algorithms identify the object of interest with the right shape and size. It is used to detect several objects including logos, street signs, and facial features in sports analytics, etc.

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