Are you looking for video annotation services but don’t know which type of video annotation is the best for your video? Read this blog post to find out about the five most popular types of video annotations.
A shape, drawing, or comment placed on top of a video frame is known as a video annotation. Just like an image annotation, video annotations are used in the recognition of objects by machine learning models. Moving objects are detected and identified on a frame-to-frame basis. AI models are then trained and developed. Just like image annotation, video annotation is now becoming a much sought-after process.
When enterprises opt for video annotation services, they have to choose from these five popular types of video annotations. From polylines and polygons to 2D bounding boxes and 3D cuboids, there are five popular types of video annotations. Which one should you choose and why? Let us look at each type and find out if it matches the requirements of your business.
- 2D bounding boxes
Rectangular boxes are primarily used for object identification, labeling, and categorization in this model. Boxes are manually drawn around the object of interest during motion across numerous frames. The box is placed close to every edge of the object, as is possible, and then labeled as per its class and characteristics.
- 3D bounding boxes
To achieve a more realistic 3D depiction of a specific item and how it relates to its environment, the 3D bounding box method is applied. This method can indicate the breadth, length, and even the depth of an object which is in motion. This method can be used to detect common as well as particular classes of objects.
- Splines and lines
In the autonomous driving sector, splines and lines are used to assist robots to understand borders and lanes. Video annotators draw lines between locations so that an AI program can easily recognize them between frames.
- Key-points and landmarks
Dots are generated throughout an image and then linked to create a skeleton of the item of interest across each key point, frame, and landmark. This type of video annotation is used to recognize even the tiniest of shapes, postures, and objects.
When it’s not possible to use 2D or 3D bounding boxes to depict an object in motion, a Polygon method is used. Lines are created by placing dots around the border of the item and then annotated with accuracy.
Getting the video annotation done is a difficult task if you don’t have access to the right tools, techniques, and technology. It is also a tedious and monotonous task that can shift your focus from your core business. Outsourcing video annotation services can put you in touch with experts who can work on your project with precision.
Outsource2india is your best bet when it comes to video annotation services. We have a team of experts who can customize our services to suit your unique business requirements. From bounding box to semantic segmentation, polygon annotation, or key-point annotation, we have the skills, technical know-how, expertise, and technology to offer you the best of services. Find out more about why your enterprise should outsource video annotation services to Outsource2india.
Do you have more questions about outsourcing video annotation services? Let us know your queries and feedback by leaving a comment in the box below. We, at Outsource2india, love to hear from you!
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