What is image segmentation?

Image segmentation identifies and labels different objects, people, and regions in an image at the pixel level. Each detected element is highlighted with a unique color overlay, making it easy to visualize what the AI recognizes. This is called semantic segmentation.

What objects can the AI detect?

The Segformer-B0 model recognizes 150+ categories from the ADE20K dataset including people, animals, vehicles, furniture, buildings, nature elements (trees, sky, water), electronics, clothing, food items, and common household objects.

Is my image uploaded to a server?

No, all AI processing happens locally in your browser using Web Workers. The model downloads once (~50MB) and is cached. Your images never leave your device, making this tool safe for sensitive or private photos.

Why is there a size limit on images?

Images are resized to maximum 1024×1024 pixels for optimal browser performance. Larger images would significantly slow down processing and may cause memory issues. The quality remains excellent for most analysis and visualization use cases.

How can I use the segmentation results?

Download the segmented image with color overlays for visual use. Copy detected object tags as comma-separated text for SEO, metadata, or accessibility descriptions. Export complete JSON data with labels, colors, and mask information for development integration.

AI Image Segmentation - Identify 150+ Objects in Images Free

How to Use

Upload an image file by dragging & dropping or clicking to browse (JPG, PNG, WebP, BMP supported).
Wait for the AI model to load on first use (~50MB download, cached for future use).
Segmentation starts automatically after upload - processing takes 10-30 seconds.
View the segmented overlay with unique colors for each detected object category.
Toggle the overlay on/off using the button to compare with the original image.
Copy detected object tags as comma-separated text for SEO or metadata use.
Export complete JSON data with segment details for development integration.

How it Works

The tool uses Segformer-B0, a transformer-based model trained on the ADE20K dataset. It performs semantic segmentation, identifying and labeling every pixel in your image.

150+ Categories

Recognizes people, animals, vehicles, furniture, buildings, and more

Local Processing

Runs entirely in your browser using WebGPU acceleration

Color Overlay

Each detected object gets a unique color for easy identification

Export Options

Download segmented image, copy tags, or export full JSON data

Common Use Cases

Content & SEO

• Generate image alt-text automatically for better accessibility
• Extract SEO keywords from product photos for metadata
• Identify objects to create accurate image descriptions
• Analyze scene composition for content categorization
• Automate content moderation by detecting object types

Development & AI

• Prototype computer vision features before backend integration
• Generate training data annotations for ML models
• Test segmentation outputs without server infrastructure
• Build educational demos showcasing AI capabilities
• Experiment with transformer models in the browser

Design & Photography

• Analyze photo composition to improve framing decisions
• Identify elements for selective editing in Photoshop
• Plan background removal by detecting foreground objects
• Create layer masks based on detected object boundaries

E-commerce & Business

• Auto-tag product images for faster catalog management
• Categorize inventory photos by detected object types
• Build visual search features using object detection
• Streamline image analysis pipelines with browser-based AI

AI Image Segmentation

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Content & SEO

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Design & Photography

E-commerce & Business

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