5 Uses of Bounding Boxes

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Read this blog post to find out how bounding box annotations are used across various fields.

Did you know that bounding boxes is currently the most popular image annotation method that is used in machine learning? Yes, it’s true! Bounding boxes annotators can outline a given object in a box as per the given machine leaning project requirements. This annotation method is the cheapest and lowest time taking methods amongst others. Bounding box is much needed in object classification of images and to localize images for computer vision. It can also be used for semantic segmentation like retail clothing, autonomous vehicle driving, satellite imagers and furniture detection to name a few.

Let us explore the different uses of bounding boxes image annotation and how it used for object detection and classification in various fields.

  1. Bounding boxes are used for object localization for autonomous vehicle driving
    Bounding boxes are used in the training of the self-driving car perception model to identify the different types of objects that you can see on the road like traffic signals, pedestrians or lane obstacles to name a few. Such visible objects can be effortlessly annotated with bounding boxes to make it easily recognizable for machines to comprehend the surroundings and drive the vehicle safety, while steering clear of crashes even while driving on busy streets.
  2. Bounding boxes are used for vehicle damage detection and insurance claims
    Another great use of bounding box-annotated images is that cars and any other type vehicles that are damaged due to an accident can be detected. With bounding boxes, a machine learning model will be able to understand the intensity and the point of damages to approximate the cost of claims that a customer can get before making the actual claim at the insurance company.
  3. Bounding boxes are used for object detection for online retail or e-commerce
    Bounding boxes are also used for products that are sold online. The bounding boxes are used to annotate and recognize clothing items and other such accessories bought by a customer. Any kind of fashion accessory can be quickly annotated with the bounding box technique to assist visual search machine learning models to identify such items and offer the required details to customers/users.
  4. Bounding boxes are used for drone and robotics imagery
    Image annotation with the help of bounding boxes is also used to label objects seen from the viewpoint of robots and drones. Images that are annotated with the technique help robots and drones to identify the wide variety of objects seen on earth. The different types of objects that can be captured into the bounding box make it easier for drones and robots to identify similar physical objects from a distance and steer accordingly.
  5. Bounding boxes are used for indoor object detection
    Bounding boxes are great for detecting indoor objects like tables, chairs, cupboards, furniture or electronic systems. It can help machines get an idea of a room and the kind of objects placed there with their position and dimension making it easier to identify such things quickly in a real-life scenario. Images that are annotated with bounding boxes can machines understand the placement of objects better.

At Outsource2india, we offer a range of bounding box services like geo-tagging, multi-label classification, image detailing, image descriptor, text translation and image retrieval to name a few. When you partner with us for bounding box services, you can be sure you are working with the best. From experienced data entry resources to original concepts, scalability and minimized operational cost, we are your best bet when it comes to bounding box services. Find out more about the bounding box services we can offer and how we can help you.

Did you like reading this post? Did you find the information useful? Which are some of the other ways that bounding box annotations can be used? Let us know your thoughts by leaving a comment in the box below. We, at Outsource2india love to hear from you!

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