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Answer: To provide the model with the exact location and class of each object within the image.
In the context of training an object detection model, labeling images serves a different purpose compared to image classification. Labeling images for object detection involves providing the model with the exact location (usually in the form of bounding boxes) and class of each object within the image. This helps the model learn to identify and locate the objects of interest within the images, rather than just classifying the entire image into predefined categories.
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You have chosen to implement an object detection model using Azure AI Vision. The next step is to label the images. What is the purpose of labeling images in this context?
A
To provide the model with a set of predefined categories to classify the entire image.
B
To provide the model with the exact location and class of each object within the image.
C
To reduce the amount of data the model needs to process.
D
To increase the complexity of the model.
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