Which computer vision solution assigns labels to images based on the overall visual content, without pinpointing the location of specific objects?
Image Classification
Semantic Segmentation
Object Detection
Optical Character Recognition (OCR)
Image Classification - This is the correct answer. Image classification assigns labels to images based on the overall visual content, without pinpointing the location of specific objects. It categorizes the entire image into predefined classes for example "dog," "cat," "car" but it does not locate individual objects within the image.
Object Detection involves identifying and locating specific objects within an image, often with bounding boxes, in addition to classifying the objects. This is different from image classification, which does not detect object locations.
Optical Character Recognition (OCR) is used to extract and recognize text from images, but it is not focused on classifying images or identifying overall content.
Semantic Segmentation divides an image into regions that correspond to different object categories and labels every pixel in the image, which is more detailed than image classification. It assigns labels to every part of the image, rather than classifying the entire image at once.
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