Exam AI-102 topic 2 question 9 discussion

The third choice should be General compact, in other that the model can be exported to be used in iOS device

Classification Multiclass General (compact)

Classification is the CORRECT choice because it is used to identify the content of an image and classify it into predefined categories, such as "cat" or "dog." In this scenario, each image contains either a cat or a dog, and the goal is to classify each image as one of these two categories. Multiclass (Single tag per image) is CORRECT because each image contains either a cat or a dog, which means only one tag should be assigned to each image, making it a multiclass classification problem. General (compact) is CORRECT because it is a versatile and optimized domain suitable for a wide range of image classification tasks, including distinguishing between cats and dogs, and is designed to be efficient for deployment on devices with limited resources, such as an iOS app.

I chose: Classification Multiclass general (compact)

Classification Multiclass General (compact)

classification multiclass General (compact): Since the model will be used in an iOS app, a compact model is preferred for performance and size reasons. The "General (compact)" domain is suitable for a wide range of image classification tasks and is optimized for mobile and edge devices.

1. Classification 2. Multiclass 3. General (compact)

1. Classification 2. Multiclass 3. General (compact)

1. Classification 2. Multiclass 3. General (compact)

1 - Classification 2 - Multiclass (single tag per image) 3 - General (compact) Custom Vision Service only exports projects with compact domains. The models generated by compact domains are optimized for the constraints of real-time classification on mobile devices. Classifiers built with a compact domain may be slightly less accurate than a standard domain with the same amount of training data.

Final Answer: Classification Multiclass General (compact)

1. Classification 2. Multiclass 3. General (compact) https://learn.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier - Select Classification under Project Types. Then, under Classification Types, choose either Multilabel or Multiclass, depending on your use case. Multilabel classification applies any number of your tags to an image (zero or more), while multiclass classification sorts images into single categories (every image you submit will be sorted into the most likely tag). You'll be able to change the classification type later if you want to.

I also think that General(compact) https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/export-your-model 1. It can be running offline 2. Real time locally

Correct