AI-900 Question 154
Select 4You are designing an AI solution to classify images of fruits into categories such as apples, bananas, and oranges. Which features of an image classification solution on Azure should you consider to ensure accuracy and scalability?
- A
The ability to preprocess and augment training data
- B
The capability to handle real-time image classification with low latency
- C
The availability of pre-trained models to reduce training time
- D
The option to create custom models for specific classification requirements
- E
The ability to detect objects and their locations in an image
Show answer and explanation
Correct answers: A, B, C, D
Explanation
For an image classification solution, it is important to focus on features like data preprocessing, real-time processing capabilities, pre-trained models, and the flexibility to create custom models. These features ensure the solution is accurate, scalable, and adaptable to various use cases. Object detection, while related to computer vision, is not a core feature of image classification.
- A. Correct.
Preprocessing and augmenting data is crucial for enhancing the model's ability to generalize and improving accuracy, making it a key feature of image classification solutions.
- B. Correct.
Real-time classification with low latency is necessary for scalable applications, especially when immediate decisions based on image inputs are required.
- C. Correct.
Pre-trained models, such as those available in Azure, can significantly reduce development time and effort, allowing faster deployment.
- D. Correct.
Custom models allow you to tailor the solution to your specific classification needs, which is essential when dealing with unique datasets or requirements.
- E. Incorrect.
Detecting objects and their locations is an object detection feature, not a primary function of image classification. Image classification focuses on assigning a label to the entire image.