Image Classification - This is the correct answer. Image classification is the most appropriate solution for assigning a single label to each image based on the main object or feature present in the image. It categorizes the entire image into predefined classes for example "dog," "car," "cat" without identifying specific objects' locations within the image.
Object Detection - Object detection is used for identifying and locating multiple objects within an image, often with bounding boxes. While it can classify objects, its primary focus is on locating objects, making it more complex than image classification for this task.
Optical Character Recognition (OCR) - OCR is specifically used for extracting text from images or documents, not for classifying images based on their content.
Facial Detection - Facial detection focuses on detecting human faces within images. It is not used for general image classification based on the main object in the image.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Computer Vision Workloads on Azure
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