What feature of Azure Cognitive Services helps detect emotions in images?

The Emotion API is a specific component of Azure Cognitive Services designed to analyze facial expressions in images to detect and interpret emotions. This API identifies various emotions such as happiness, sadness, anger, surprise, and more by analyzing the expressions on human faces. By leveraging deep learning models, the Emotion API assigns a confidence score to each emotion detected, allowing developers to understand the emotional context of images effectively.

The Vision API, while it encompasses a variety of image processing capabilities, does not focus exclusively on emotion detection and may include functionalities like object detection and image tagging. The Face Recognition API is designed primarily for identifying and recognizing individual faces rather than assessing emotional states, which is a more specific function of the Emotion API. Meanwhile, the Speech Recognition API is tailored for processing and recognizing spoken language and does not pertain to image analysis at all. This makes the Emotion API the correct choice for detecting emotions in images within the context of Azure Cognitive Services.