An agricultural company wants to automatically count and locate fruits in images taken from their orchards to monitor yield.
Which computer vision solution is most appropriate for this task?
Image Classification
Optical Character Recognition (OCR)
Object Detection
Facial Analysis
The correct answer is Object Detection. Object detection not only identifies each fruit but also returns bounding-box coordinates, enabling the company to count every instance and analyze the spatial distribution of fruits in each image.
Image Classification assigns one or more labels to the entire image; because it does not localize individual objects, it cannot reliably count fruits.
Optical Character Recognition (OCR) is designed for extracting printed or handwritten text, which is irrelevant here.
Facial Analysis focuses on detecting and analyzing human faces, making it unsuitable for identifying fruits in orchard images.
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