Understand the capabilities of object detection in AI when analyzing images of damaged products. Learn how object detection can identify multiple occurrences of damaged goods.
Table of Contents
Question
Select the correct capability of object detection.
A. Object detection can identify multiple types of damaged products in an image.
B. Object detection can identify the location of a damaged product in an image.
C. Object detection can identify multiple instances of a damaged product in an image.
Answer
C. Object detection can identify multiple instances of a damaged product in an image.
Explanation
Object detection is an AI capability that can identify multiple instances of a specific object, such as a damaged product, within an image. When trained on annotated images of damaged and undamaged products, an object detection model learns to recognize the visual characteristics that distinguish a damaged item.
Given a new image, the model can then locate and draw bounding boxes around each damaged product it identifies. Importantly, object detection can find multiple occurrences of damaged products in the same image. For example, if an image contains three broken widgets, object detection will place a box around each of the three instances.
However, a single object detection model is typically trained to only identify one specific type of object, such as a particular damaged product. It cannot identify multiple different types of damaged products in an image – that would require training separate models for each product type.
Object detection also does not explicitly output the location of damaged products in an image in terms of coordinates or regions. Its output is the bounding boxes placed around each detected instance.
In summary, the key capability of object detection is identifying multiple instances of a specific object, like a damaged product, within an image, which makes it a powerful tool for automated visual inspection tasks. But it is limited to one object type per model and only implicitly provides location information via bounding boxes.
Object detection is designed to recognize and locate multiple instances of objects within an image, providing both the class of the objects and their bounding boxes. While options A and B may describe aspects of what object detection can do, the most accurate description of its core capability is the identification of multple instances.
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