Exam AI-900 topic 1 question 84 discussion

correct. to detect objects in a image you need to use Object Detection

Object detection vs. image classification Image classification is a machine learning based form of computer vision in which a model is trained to categorize images based on the primary subject matter they contain. Object detection goes further than this to classify individual objects within the image, and to return the coordinates of a bounding box that indicates the object's location. Notice that an object detection model returns the following information: • The class of each object identified in the image. • The probability score of the object classification (which you can interpret as the confidence of the predicted class being correct) • The coordinates of a bounding box for each object.

If this were image classification, the output would simply state the most likely label for the entire image (e.g., "Fruit") without drawing any bounding boxes or identifying individual objects.

Image classification: Identifying to which category an image belongs. Object detection: Locating individual objects within an image.

Object Detection

This is indeed object detection, as image classification focuses on identifying a dominant object in an image and assigning it to a category, while object detection focuses on identifying and localizing multiple objects within an image.

Isn't it classifying images than just identifying them?

Object Detection

Based on the image, it should be A: object detection https://learn.microsoft.com/en-us/training/modules/detect-objects-images-custom-vision/1a-what-is-object-detection

Should be image classification