Short Answer 
The analysis involves classifying an image of a traffic light into three categories: Red, Green, or Amber, making it a classification problem. As the task requires predicting discrete categories, using a classification approach is appropriate.
Step 1: Understand the Problem Type
The problem involves analyzing an image of a traffic light to determine its color. It requires recognizing whether the signal is Red, Green, or Amber. Understanding the nature of this problem is essential for selecting the correct approach for analysis.
Step 2: Identify the Task Category
This specific issue falls under the category of Classification. Classification tasks involve categorizing items into predefined groups based on their features. In this scenario, you need to classify the traffic light image into one of three categories:
- Red
- Green
- Amber
Step 3: Confirm Suitability of Classification
Since the goal is to predict a discrete class rather than estimate a continuous value, classification is indeed the most appropriate method. The model’s role here is to assign the image to a specific category, making classification the best fit for solving this traffic light analysis problem.