Color Name Detector

Color Name Detector

Color Name Detector is a software that can detect the names of colors from images. It uses advanced computer vision and machine learning algorithms to analyze images and identify the dominant colors, returning the closest color names.
Color Name Detector image
color-detection image-recognition machine-learning

Color Name Detector: Detects Color Names from Images

Color Name Detector is a software that can detect the names of colors from images. It uses advanced computer vision and machine learning algorithms to analyze images and identify the dominant colors, returning the closest color names.

What is Color Name Detector?

Color Name Detector is an innovative computer vision software that can automatically detect color names from images. It works by analyzing the pixel data in images and using advanced machine learning algorithms to determine the dominant colors present.

The software has been trained on large datasets of color swatches labeled with their color names, allowing it to match colors it detects in new images with known color names. It can identify common color names like red, blue, green, but also less common names like magenta, azure, chartreuse, etc.

Some key features and capabilities:

  • Processes JPEG, PNG images
  • Detects primary, secondary, tertiary colors
  • Returns closest matching color names
  • Handles lighting and shading variations
  • Fast processing time, results in 2-3 seconds
  • Can be integrated into other software via API
  • Can analyze entire images or sample areas
  • Completely automated processing

Color Name Detector enables various applications that need automatic color recognition from visual data. Useful for ecommerce catalog analysis, interior design software, product color detectors in manufacturing, color trend analysis, artwork color extraction and more.

Color Name Detector Features

Features

  1. Detect color names from images
  2. Analyze image content and identify dominant colors
  3. Return closest color names based on advanced algorithms
  4. Support for various image formats (JPEG, PNG, etc.)
  5. Batch processing of multiple images

Pricing

  • Free
  • Freemium
  • One-time Purchase
  • Subscription-Based

Pros

Accurate color identification

Easy to use and integrate into applications

Supports a wide range of image types

Efficient processing of large image sets

Cons

Limited to color name detection, no other image analysis features

May not work well with complex or non-standard color palettes

Potential for false positives or incorrect color name identification


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