Overview on Image Annotation and Its Types

1. Overview on Image Annotation and Its Types

2. Image Annotation - Importance Annotation literally means assigning metadata or label to a given data like image, audio, video etc. The process of annotation is carried out by annotators who are machine learning experts or computer vision scientists. So, image annotation is a human-powered act to label or annotate an image. Image annotation is the process of associating an entire image, or a section of an image, with an identifier label.

3. Types of Image Annotation Looking for information on the different image annotation types? In the world of AI and machine learning, data is king. Without data, there can be no data science. For AI developers and researchers to achieve the ambitious goals of their projects, they need access to enormous amounts of high-quality data. • 2D Bounding Boxes: 2D Bounding box annotation is the most basic of all the image annotation techniques. 2D bounding box image annotation is used for training computer vision models on how to locate persons on images, individual objects, vehicles on roads. Our annotators draw bounding boxes over objects of interest in the images for your computer vision model. They ensure that there are no loose ends.

4. 3D Bounding Boxes\ Cuboids 3D bounding box annotation is also known as cuboids annotation. The only difference between the 2D and 3D bounding box image annotation techniques is that the cuboid annotation technique accounts for an additional dimension of depth/height other than length and breadth. Like 2D bounding box annotations, in cuboid annotation too, annotators draw boxes around the target objects by placing anchor points at the object's edges.

5. Polygons 2D and 3D bounding box image annotation techniques have a limitation, they cannot effectively annotate objects of irregular shape. So to make irregular or asymmetrical objects in images or videos recognizable for computer vision polygon annotation services are used. Polygon annotation services are used in the annotation of road sign boards, human postures in sports or during exercise, logos, animals etc.

6. Semantic Segmentation 2D-3D Bounding boxes and polygons annotation services annotate individual objects in an image. However, to annotate each pixel in a given image, semantic segmentation annotation is used. Using semantic segmentation, pixel-wise annotation of objects in an image is possible. This helps in computer vision to localize the images with fine prediction. Semantic segmentation visualizes multiple objects of the same class as a single entity.

7. Lines and Splines Annotation and Labelling of straight or curved lines on images come under the lines & splines annotation services. Line annotation services are generally used to annotate lanes for lane detection by autonomous vehicles like self-driven cars. Similarly, annotators can also be tasked with annotating sidewalks, power lines, road edges, and other boundary indicators.

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