B is the answer.
https://learn.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/overview
Azure Custom Vision is an image recognition service that lets you build, deploy, and improve your own image identifier models. An image identifier applies labels to images, according to their visual characteristics. Each label represents a classification or object. Unlike the Computer Vision service, Custom Vision allows you to specify your own labels and train custom models to detect them.
https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection
Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found in the image. For example, if an image contains a dog, cat and person, the Detect operation will list those objects with their coordinates in the image. You can use this functionality to process the relationships between the objects in an image. It also lets you determine whether there are multiple instances of the same object in an image.
correct.
Custom Vision object detection is a service that allows you to train a model to detect and locate specific objects within images. In this case, you can train a Custom Vision object detection model using the 1,000 digital photos of the widgets. By labeling the widgets in the images and providing corresponding bounding boxes, the model can learn to identify and locate the widgets in new photos.
Computer Vision Spatial Analysis focuses on analyzing the spatial relationships and layout of objects within an image, which might not be suitable for precisely identifying the location of specific objects like widgets.
Computer Vision Image Analysis is a broad term that encompasses various image analysis techniques, but it may not provide the specific object detection capability required for locating widgets.
Custom Vision classification is used to classify images into predefined categories rather than detecting the location of specific objects within the images.
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