Object Detection

Overview

Object Detection is commonly used to identify one or more objects or object types. This method offers bounding boxes to detect objects. A bounding box is a rectangle that you can use to outline the object.

For example, let’s say you want to identify screws in cereal. When you go through your images, you can create a bounding box around each screw you find.

Bounding Box 

Keep Bounding Boxes Tight Around Objects

It is important to keep bounding boxes as close to the object you want to identify as possible. This method will help you avoid capturing “non-defective” space. When you include non-defective space, you tell the platform that this extra space is part of the defect (or object). This can cause complications when the Model is deployed and is looking for defects (or objects) in the real world.

For example, the screenshot below shows alarger bounding box that includes lots of non-defective space.

Poor Example of a Bounding Box 

While this screenshot shows a bounding box that is tight around the object.

Better Example of a Bounding Box