Prompt-based Object Detection with Gemini 2.0

This n8n template demonstrates how to get started with Gemini 2.0's new Bounding Box detection capabilities in your workflows. The key difference being this enables prompt-based object detection for images which is pretty powerful for things like contextual search over an image. eg. "Put a bounding box around all adults with children in this image" or "Put a bounding box around cars parked out of bounds of a parking space". How it works An image is downloaded via the HTTP node and an "Edit Image" node is used to extract the file's width and height. The image is then given to the Gemini 2.0 API to parse and return coordinates of the bounding box of the requested subjects. In this demo, we've

Help me set up the n8n workflow "Prompt-based Object Detection with Gemini 2.0" (https://n8n.io/workflows/2649). It uses: Edit Image, HTTP Request, Code. Import the template JSON into my n8n instance, list every credential I need to create, and walk me through testing it.