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Image & Video Annotation

Annotating an image simply involves writing a note or a comment to the target object in the image. The process of tagging, labeling, or classifying an image is known as image annotation. Video annotation is similar to the former, wherein here the dataset is exported as frame-by-frame images and is labeled individually. Such annotated images/videos are the basis for all kinds of Artificial Intelligence (AI) applications such as self-driving cars, tumor detectors and more. The first step in the annotation process is to tag or label the dataset. This information is then fed to an AI or computer vision system, which gets trained and aids in automatic detection.

The following are the different types of Image annotation.

  • Object Classification - In this type, the entire image is tagged with a label. This type is more appropriate for images with a single object.
  • Object Detection - This type involves labeling of different objects in the image.
  • Segmentation - In this type, the image is segmented into multiple clusters of similar objects. This is further subdivided into semantic, instance and panotopic segmentation.

Some of the widely used annotation techniques are as follows:

  • Bounding Boxes - Rectangular boxes are drawn over the object and labeled.
  • 3D Cuboids - Three dimensional boxes offer detailed information such as exact dimensions.
  • Polygons - This technique is used for objects of irregular shapes by marking its edges.
  • Lines - This approach is used in annotating sidewalks and boundaries
  • Key Point - It is widely used to annotate specific features such as facial expression.

At HaiData, we offer Semantic, Instance & Panoptic Segmentations, 2D/3D Bounding Boxes, Keypoints, Polygons, Lines & Splines and Circles with advanced video tracking techniques, at scale.

Wherever possible, we apply Semi Automatic Annotations and accelerate annotations by up to 15x.

Contact Us today for a free sample annotation!