Which of the following features is commonly associated with solutions that analyze human faces in images?
Detecting objects like vehicles and furniture
Estimating emotional states of people in images
Converting handwritten text into digital format
Categorizing images into predefined classes
Estimating emotional states of people in images - This is the correct answer. Solutions that analyze human faces in images often include the ability to estimate emotional states, such as detecting whether a person is happy, sad, angry, or surprised based on their facial expressions.
Converting handwritten text into digital format - This feature is associated with Optical Character Recognition (OCR), which focuses on recognizing and converting text from images, not facial analysis.
Detecting objects like vehicles and furniture - This is the functionality of object detection solutions, which focus on identifying and locating specific objects in an image, not analyzing human faces.
Categorizing images into predefined classes - This refers to image classification, where the goal is to classify an image into one of several predefined categories, but it is not specifically focused on analyzing human faces.
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