Categorize ML Problem: Analyze a Traffic Light image to find the signal – Red or Green or Amber
Fdaytalk Homework Help: Questions and Answers: Categorize ML Problem: Analyze a Traffic Light image to find the signal – Red or Green or Amber
Options:
- Regression 2. Classification 3. Both 4. None of the above
Answer:
To analyze a traffic light image and determine whether the signal is red, green, or amber, the ML problem can be categorized as classification. Classification is a type of supervised learning where the goal is to classify input data into different categories or classes based on labeled training data.
In this case, the ML model would be trained on a dataset of traffic light images labeled as red, green, or amber. The model would learn to identify the visual features and patterns associated with each class and make predictions on new, unseen images.
By using classification algorithms, the ML model can assign a label to the traffic light image based on its visual characteristics, such as color and shape. The model can then classify the image as red, green, or amber based on the learned patterns and features.
Therefore, the correct option for categorizing the ML problem of analyzing a traffic light image to find the signal color is Classification (Option 2).
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