Color Extraction — Dominant Color Identification

Color Extraction — Dominant Color Identification

Now live on AIOZ AI V1, our collaborative DePIN-Powered AI Marketplace. The Color Extraction model analyzes images to detect and extract prominent colors, delivering their HEX codes and intensity levels without altering the original image.

Built with advanced computer vision techniques like K-means clustering, this model processes pixel values to generate precise color insights, making it ideal for color-based analysis, design workflows, and visual data representation.

Using the PyTorch framework, the model supports English language processing and handles both image-to-text & image-to-image tasks efficiently.

AI advancements in computer vision have fueled the development of this model, enabling its seamless integration into the AIOZ AI ecosystem for powerful, real-world applications.

Try it now:

https://aiozai.network/models/e711f840-1465-486a-8d2c-c347cdaca532

How It Works

The process begins with loading and preprocessing the input image, followed by analyzing pixel values through techniques like K-means clustering to identify color clusters.

RGB values are then converted to HEX codes, and the results are post-processed to generate the outputs.

This efficient pipeline allows the model to extract colors in a single pass, making it both fast and effective.

  • Input: One image (PNG, JPG, JPEG)
  • Output: Processed PNG with highlighted colors, plus text output with HEX color codes (e.g., #FF0000)

Ideal Use Cases

  • Image analysis and color palette generation
  • Design and visualization projects
  • Data representation in creative or analytical applications

License

Released under the terms compliant with the original author's license, based on work by Shamima Hossain.

Get Started

Run the Color Extraction Model on AIOZ AI V1, and unlock deep visual insights - one image at a time.

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