Color Names Dataset

Color Names Dataset

Datasets

Color Names Dataset

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Color Names Dataset

Use Case

Color Names Dataset

Description

Explore a detailed dataset of 1,298 unique color names with Hex codes, RGB values, and advanced color models like HSL and HSV.

Description:

The Color Names Dataset contains detailed information about 1,298 distinct color names, designed for use in a wide variety of applications such as design, image processing, and computer vision. Each color is represented by various color models, making it versatile for both web-based and machine learning projects. This dataset includes color information such as Hex, RGB, Hue, HSL, and HSV, with additional explanations for each field.

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Dataset Structure and Columns

  1. Name

The dataset begins with descriptive names for each color. These names are intuitive and recognizable, making it easier to relate to the associated colors (e.g., “Azure”, “Coral”, or “Mint Green”).

  1. Hex Code (24-bit)

Each color is associated with a hexadecimal code, commonly used in web design and UI/UX development. The hex code represents the color in a six-character string, blending the red, green, and blue values (e.g., #FF5733). It’s particularly useful for embedding consistent color codes in websites or digital media.

  1. RGB Values (8-bit)

The RGB values describe the intensity of the red, green, and blue channels for each color. This is crucial for image and video applications where precise color reproduction is required. Each value ranges from 0 (no intensity) to 255 (full intensity).

  • Red (8-bit): The contribution of red to the color.
  • Green (8-bit): The contribution of green.
  • Blue (8-bit): The contribution of blue.
  1. Hue (Degrees)

Hue represents the actual color type and is measured in degrees on a 360° color wheel. For example, a hue of corresponds to red, while 120° is green, and 240° is blue. It’s an essential metric for understanding the dominant color.

Applications of the Dataset

  1. Color Detection for AI Models

The dataset can be used to train AI models for color recognition, object detection, or image classification. By using the different color properties, machines can learn to detect and differentiate colors under various lighting conditions.

  1. Web and Graphic Design

Web developers and graphic designers can benefit from this dataset by using hex codes and RGB values to ensure color consistency across digital platforms. Whether designing websites, apps, or media, this dataset provides a reliable color palette.

Conclusion

The Color Names Dataset is a comprehensive resource for anyone working with color data, whether for design, AI training, or multimedia applications. Its diverse set of color properties makes it adaptable for various fields, offering the flexibility to work with different color models. This dataset is not only valuable for current technology but also as a foundation for future AI and visual computing innovations.

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