Discover the best practices for creating a Custom Vision model in Azure AI to identify and classify fashion items accurately using the Retail domain and Classification project type.
Table of Contents
Question
You are building a Custom Vision model for Xerigon Corporation. The model would do the following:
- Identify fashion items from Xerigon’s website.
- Identify whether an item is a sweatshirt, polo shirt, T-shirt, or long sleeve T-shirt.
Which project type and domain should you use?
Drag the options to the appropriate Project type and Domain.
Options:
- Classification
- Object detection
- General [A1]
- General
- Logo
- Products on Shelves
- General (compact) [S1]
- General (compact)
- Retail
Answer
Project type: Classification
Domain: Retail
Explanation
When you create a new project, the project can have two project types:
- Classification – This project type is referred to as image classification, which assigns a label or more than one label to an entire image. You would choose this project type if you need to know what is in an image. For example, you want to categorize an image into several classes. You could identify if the image contains a car, bus, or truck.
- Object Detection -This project type finds and locates multiple objects inside an image. Choose this project type if you need to know what is in the image and where that object is located. For example, you could detect multiple trucks in the image and where they are on the street.
A project type can have several domains. The following lists the different domains that are available for the Classification project type:
- General: This domain is used for various image classification tasks, providing standard accuracy and inference time. If you do not know which domain to pick, select a General domain such as General, General [A1], or General [A2].
- General [A1]: This domain has higher accuracy with the same inference time as the General domain but requires longer training time. You would use this domain for a problematic user scenario or a larger dataset.
- General [A2]: This domain has higher accuracy with quicker inference time than either General [A1] or General and requires less training time. It could be used for most datasets.
- Food: As the name implies, this domain is optimized for images of food, such as restaurant dishes and pictures on menus. If you have pictures of different vegetables, you would choose the food domain to classify them.
- Landmarks: This domain is used to find landmarks, both real and artificial. You would choose this domain if the landmark is visible, not obscured. However, the domain can work if the landmark is slightly blurred.
- Retail: This domain is used to find products in catalogs or on retail websites. You would use this domain to distinguish between products, for example, different types of clothes such as pants, sweatshirts, polo shirts, T-shirts, and shorts.
- Compact domains: This domain is used for real-time classification on mobile devices. You would use this domain when you want faster performance and lower resource usage, but you can accept less accuracy than standard domains.
The following lists the different domains that are available for the Object Detection project type:
- General: This domain is used for various image classification tasks, providing standard accuracy and inference time. If you do not know which domain to pick, select a General domain such as General or General [A1].
- General [A1]: This domain has higher accuracy with the same inference time as the General domain but requires longer training time. You would use this domain for a problematic user scenario or a larger dataset. Results from this domain are not deterministic. You can expect a +/- 1% mean Average Precision (mAP) difference with the same training data provided.
- Logo: This domain is used to find logos in images. You would use this domain for applications to identify and find logos in marketing images.
- Products on shelves: This domain is used to find and classifying products on store shelves. This domain can be used in retail inventory management to locate and identify products on crowed shelves.
- Compact domains: This domain is used for real-time classification on mobile devices. You would use this domain when you want faster performance and lower resource usage, but you can accept less accuracy than standard domains.
Since this scenario wants to identify fashion items from Xerigon’s website and classify them into what type of clothes they are, such as hoodie, T-shirt, etc., you would choose Classification as the Project type and Retail as the domain.
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