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?
Optical Character Recognition (OCR)
Image Classification
Object Detection
Facial Analysis
The correct answer is Object Detection - Object detection not only identifies the presence of objects (in this case, fruits) but also provides their locations within the image by drawing bounding boxes around them. This allows the company to count and analyze the spatial distribution of fruits in each image.
Image Classification assigns a single label to an entire image, indicating the presence of fruits but not their quantity or locations.
Optical Character Recognition (OCR) is used for extracting text from images, which is not relevant in this scenario.
Facial Analysis focuses on detecting and analyzing human faces, making it unsuitable for identifying fruits in orchard images.
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