Question

A sports media company wants to automatically tag short game clips with the specific athletic actions they contain (e.g., 'shot on goal', 'free kick', 'tackle') along with the time segments where each action occurs. The data science team has only a few weeks, limited ML expertise, and a labeled dataset of a few thousand video clips. They want the lowest-code approach on Google Cloud that produces temporal action segments. Which solution best fits these requirements?

Accepted Answer

Use AutoML (Vertex AI) to train an action recognition video model on the labeled clips

Answer

Use the Vision API's label detection endpoint on sampled frames from each clip

Answer

Write a custom PyTorch 3D-CNN training job on Vertex AI custom training with a GPU cluster

Answer

Use the Video Intelligence API's prebuilt label detection to identify actions