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A film studio is developing an application to automatically tag scenes in their vast archive of video footage with objects, activities, and locations. They possess a large dataset of labeled video segments and want to build a custom machine learning model for this task. They need a service that allows them to train and deploy these video analysis models without deep expertise in TensorFlow or other complex ML frameworks, leveraging Google Cloud's AutoML capabilities. Which Google Cloud product should they use?
- AVertex AI Workbench
- BCloud Video Intelligence API
- CAutoML Video Intelligence
- DBigQuery ML
Show answer & explanationAnswer & explanation
Correct answer: C. AutoML Video Intelligence
AutoML Video Intelligence allows users to automatically train and deploy custom machine learning models for video analysis (e.g., object detection, classification) using their own labeled video data, without requiring extensive ML expertise.
Why the other options are wrong
- A. Vertex AI Workbench is for custom ML development, requiring expertise in ML frameworks, which contradicts 'without deep expertise in TensorFlow or other complex ML frameworks'.
- B. Cloud Video Intelligence API is a pre-trained API for general video analysis, but the studio needs a 'custom machine learning model' using their 'labeled video segments'.
- D. BigQuery ML is for structured data in BigQuery, not for video analysis.
AutoML Video Intelligence
A Google Cloud service that enables developers to automatically train and deploy custom machine learning models for video content analysis.
- Uses your own labeled video data for training
- No deep ML expertise required
- Supports various video analysis tasks like classification, object tracking, action recognition
Memory trick: AutoML makes video analysis automatic and smart.