Unlock Visual Insights with AI-Powered Image Object Detection
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Leverage cutting-edge AI to automatically detect and locate objects within images. This workflow empowers you to extract valuable visual data and automate image analysis tasks with ease.
About This Workflow
This workflow showcases the power of AI-driven object detection, specifically utilizing Google's Gemini 2.0 model. It begins by fetching a test image and then sends it to the Gemini API for object analysis. The API returns bounding box coordinates for detected objects (in this case, rabbits), along with their labels. The workflow then processes these coordinates, scaling them to match the original image dimensions. Finally, it uses an image editing node to draw these bounding boxes directly onto the image, providing a clear visual representation of the detected objects. This demonstrates a fundamental capability for a wide range of image analysis and automation applications.
Key Features
- AI-Powered Object Detection: Utilize advanced AI models to identify and locate specific objects within images.
- Automated Bounding Box Generation: Automatically receive precise coordinates for detected objects.
- Image Augmentation: Visually represent detected objects by drawing bounding boxes on the original image.
- Flexible Integration: Seamlessly integrate with n8n for end-to-end automation of image analysis pipelines.
How To Use
- Trigger Workflow: Initiate the workflow by clicking the 'Test workflow' button.
- Download Test Image: The 'Get Test Image' node fetches an image from a specified URL.
- Get Image Information: The 'Get Image Info' node retrieves essential image metadata like width and height, crucial for scaling coordinates.
- AI Object Detection: The 'Gemini 2.0 Object Detection' node sends the image to the Google Gemini API, requesting detection of specific objects (e.g., 'rabbits'). Ensure your API credentials are correctly configured.
- Variable Extraction: The 'Get Variables' node extracts the normalized bounding box coordinates ('coords') and the image dimensions ('width', 'height') from the previous nodes.
- Scale Coordinates: The 'Scale Normalised Coords' node converts the normalized bounding box coordinates into pixel values relative to the image's actual dimensions.
- Draw Bounding Boxes: The 'Draw Bounding Boxes' node takes the scaled coordinates and overlays rectangles (bounding boxes) onto the original image, visually highlighting the detected objects.
Apps Used
Workflow JSON
{
"id": "42f255a5-59a9-4466-8f6f-f34a656ec0d3",
"name": "Unlock Visual Insights with AI-Powered Image Object Detection",
"nodes": 22,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 42f255a5-59a9...
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