What does "Object Detection And Segmentation" mean?
Table of Contents
Object detection and segmentation are important tasks in the field of computer vision. They help computers understand images by locating and identifying objects within them.
Object Detection
Object detection involves finding specific items in an image and marking their locations. For example, in a picture of a beach, object detection can help find people, umbrellas, or surfboards. This allows the computer to see what is in the image and where each item is located.
Segmentation
Segmentation takes this a step further. It not only finds objects but also outlines their shapes. Using the beach example, segmentation would mark the exact edges of each person or umbrella, showing the computer exactly how much space each item occupies. This detailed understanding is useful for many applications, such as analyzing food in images or counting fish in underwater photos.
Applications
These techniques are widely used in various fields. In food analysis, they can help estimate portion sizes by detecting and measuring food items in pictures. In wildlife research, they assist in counting and classifying fish species from photos taken underwater. By improving how computers analyze images, these methods make tasks easier and more accurate.