You are processing photos of runners in a race.You need to read the numbers on the runners' shirts to identity the runners in the photos.Which type of computer vision should you use?
Answer(s): B
Optical character recognition (OCR) allows you to extract printed or handwritten text from images and documents.
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-ocr
You use drones to identify where weeds grow between rows of crops to send an instruction for the removal of the weeds.This is an example of which type of computer vision?
Answer(s): A
Object detection is similar to tagging, but the API returns the bounding box coordinates for each tag applied.For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image.Incorrect Answers:B: Optical character recognition (OCR) allows you to extract printed or handwritten text from images and documents.C: Scene segmentation determines when a scene changes in video based on visual cues. A scene depicts a single event and it's composed by a series of consecutive shots, which are semantically related.
https://docs.microsoft.com/en-us/ai-builder/object-detection-overview https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-ocr https://docs.microsoft.com/en-us/azure/azure-video-analyzer/video-analyzer-for-media-docs/video-indexer- overview
DRAG DROP (Drag and Drop is not supported)Match the types of computer vision workloads to the appropriate scenarios.To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.Note: Each correct selection is worth one point.Select and Place:
Box 1: Facial recognitionFace detection that perceives faces and attributes in an image; person identification that matches an individual in your private repository of up to 1 million people; perceived emotion recognition that detects a range of facial expressions like happiness, contempt, neutrality, and fear; and recognition and grouping of similar faces in images.Box 2: OCRBox 3: Objection detectionObject detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together 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 tag in an image.The Detect API applies tags based on the objects or living things identified in the image. There is currently no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the Detect API only finds objects and living things, while the Tag API can also include contextual terms like "indoor", which can't be localized with bounding boxes.
https://azure.microsoft.com/en-us/services/cognitive-services/face/https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection
You need to determine the location of cars in an image so that you can estimate the distance between the cars.Which type of computer vision should you use?
Object detection is similar to tagging, but the API returns the bounding box coordinates (in pixels) for each object found. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together 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 tag in an image.The Detect API applies tags based on the objects or living things identified in the image. There is currently no formal relationship between the tagging taxonomy and the object detection taxonomy. At a conceptual level, the Detect API only finds objects and living things, while the Tag API can also include contextual terms like "indoor", which can't be localized with bounding boxes.
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-object-detection
HOTSPOT (Drag and Drop is not supported)Select the answer that correctly completes the sentence.Hot Area:
Box: Custom VisionYou can use the __________ service to train an object detection model by using your own images.Azure Custom Vision is a cognitive service that lets you build, deploy, and improve your own image classifiers.An image classifier is an AI service that applies labels (which represent classes) to images, according to their visual characteristics. Unlike the Computer Vision service, Custom Vision allows you to specify the labels to apply.Note: The Custom Vision service uses a machine learning algorithm to apply labels to images. You, the developer, must submit groups of images that feature and lack the characteristics in question. You label the images yourself at the time of submission. Then the algorithm trains to this data and calculates its own accuracy by testing itself on those same images. Once the algorithm is trained, you can test, retrain, and eventually use it to classify new images according to the needs of your app. You can also export the model itself for offline use.Incorrect Answers:Azure AI Vision:Azure AI Vision service provides developers with access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Azure AI Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/home
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