You work for a pet food company that manages an online forum. Customers upload photos of their pets on the forum to share with others. About 20 photos are uploaded daily. You want to automatically…

The Cloud Vision API provides pre-trained models capable of object detection and classification, including identifying animals. It's a fully managed service, requiring minimal development time and deployment effort, and is cost-effective for a low volume of 20 photos daily, perfectly matching the requirements for speed, cost, and minimal development.

Downloading a model from TensorFlow Hub and deploying it to Vertex AI requires more development effort, model management, and potentially higher costs compared to using a pre-trained, managed API for a simple task and low volume.

Manually labeling images and building a custom object detection model involves significant time and cost for data annotation, model training, and deployment, which contradicts the goal of minimizing time and cost.

Manually labeling images for image classification also incurs significant data labeling and training costs/time, even if it's simpler than object detection, making it less optimal than using a ready-made API for this specific low-volume task.