Table of Contents
Question
Match the types of machine learning to the appropriate scenarios. Each machine learning type may be used once, more than once, or not at all.
Machine Learning Types:
- Facial detection
- Facial recognition
- Image classification
- Object detection
- Optical character recognition (OCR)
- Semantic segmentation
Scenarios:
- Separate images of polar bears and brown bears.
- Determine the location of a bear in a photo.
- Determine which pixels in an image are part of a bear.
Answer
- Image classification: Separate images of polar bears and brown bears.
- Object detection: Determine the location of a bear in a photo.
- Semantic segmentation: Determine which pixels in an image are part of a bear.
Explanation
<box 1>: Image classification
Image classification is a supervised learning problem: define a set of target classes (objects to identify in images), and train a model to recognize them using labeled example photos.
<box 2>: Object detection
Object detection is a computer vision problem. While closely related to image classification, object detection performs image classification at a more granular scale. Object detection both locates and categorizes entities within images.
<box 3>: Semantic Segmentation
Semantic segmentation achieves fine-grained inference by making dense predictions inferring labels for every pixel, so that each pixel is labeled with the class of its enclosing object ore region.
Reference
- Google Products > Machine Learning > Advanced courses > Image ClassificationML Practicum: Image Classification
- Microsoft Learn > .NET > ML.NET guide > Tutorials > Tutorial: Detect stop signs in images with Model Builder
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