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Remove background from a picture
Cut Out

Cut Out

An AI image segmentation demo made with Flask and Mobile SAM

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What is Cut Out ?

Cut Out is an AI-powered image segmentation tool designed to quickly and easily remove backgrounds from images. Built using Flask and Mobile SAM, this demo provides a user-friendly solution for isolating foreground objects from their backgrounds. Whether you're a casual user or a professional, Cut Out simplifies the process of background removal with high accuracy and precision.

Features

• AI-Powered Background Removal: Utilizes advanced AI algorithms to automatically detect and remove backgrounds from images.
• High Precision: Capable of handling complex edges and detailed objects for clean results.
• User-Friendly Interface: Intuitive design makes it easy to upload, process, and download images.
• Customization Options: Allows users to refine selections and adjustments for better results.
• Fast Processing: Quickly handles image processing, even for high-resolution images.
• Multi-Format Support: Supports various image formats for versatility.

How to use Cut Out ?

  1. Upload Your Image: Select and upload the image you want to process.
  2. Automated Background Removal: The AI will automatically detect and remove the background.
  3. Refine Selection: Optionally use tools to manually adjust the selection for better accuracy.
  4. Download the Result: Once satisfied, download the processed image with the background removed.

Frequently Asked Questions

What image formats does Cut Out support?
Cut Out supports common formats like JPG, PNG, and others for both upload and download.

How accurate is the background removal?
The AI provides high-precision results, especially for sharp, well-defined edges. For more complex images, manual adjustments may enhance accuracy.

Can I use Cut Out on mobile devices?
Yes, Cut Out is optimized for use on both desktop and mobile devices, making it accessible from anywhere.

Is there a size limit for images?
While Cut Out can handle high-resolution images, extremely large files may take longer to process. For best results, use images under 10MB.

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