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.