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Makeup Product Colour Dataset
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About
Provides detailed information on various shades of makeup products, specifically focusing on foundation lines and their precise colour metrics. The creation of this product was motivated by the common difficulty consumers face in selecting the correct shade, which is crucial for achieving a pleasant look and enhancing beauty. It addresses the confusion caused by numerous available shades by detailing brand and product information alongside objective colour measurements. The sampled products, such as Double Wear and Studio Fix, were chosen because they contained the highest number of shades in their respective brand lines as captured around May 2018.
Columns
- brand: The full written name of the brand creating the foundation shade. There are 36 unique brands in total, with examples including Maybelline and Estée Lauder.
- brand_short: A unique, abbreviated 2-3 character name for the brand, excluding special characters or spaces.
- product: The full name of the foundation line sampled.
- product_short: A unique 2-3 character identifier string for the specific product.
- hex: The hexadecimal colour code for a particular shade, represented without the leading hash symbol. There are 617 unique hex codes available.
- H: The Hue value from the HSB or HSV colour space, measured as a number from 0 to 360 degrees.
- S: The Saturation value from the HSB or HSV colour space, indicating the amount of grey present, represented as a decimal from 0 to 1.
- V: The Value, or brightness/intensity, from the HSB or HSV colour space, also represented as a decimal from 0 to 1.
- L: The Lightness value from the CIE Lab colour space, given as a decimal from 0 to 1. This value has a mean of 65.9 and a standard deviation of 17.5.
- group: An analysis grouping variable, where each product is assigned to one of seven potential groups.
Distribution
The data is provided in a CSV file format named
shades.csv, which is approximately 39.85 kB in size and contains 10 distinct columns. The dataset includes 625 valid records across all essential metrics. It is expected that this resource will be updated annually.Usage
This dataset is ideal for colour analysis in cosmetic science, developing foundation shade matching algorithms, conducting market research on product diversity across brands, and informing decisions about digital shade representation. It can be used to understand the distribution of lightness (L) values, which range from a minimum of 11 up to 95.
Coverage
The coverage includes shade metrics from 36 unique brands and 38 unique foundation products. Data selection focused on product lines containing the highest number of shades within a brand, as sampled around May 2018. The dataset covers objective physical colour metrics including hue, saturation, value, and CIE Lab lightness.
License
CC0: Public Domain
Who Can Use It
- Data Scientists and Analysts: For creating machine learning models focused on colour matching and product recommendation engines.
- Cosmetic Industry Professionals: To benchmark shade ranges against competitors such as Maybelline and Estée Lauder.
- Researchers: To study colour distribution and accessibility in makeup lines.
Dataset Name Suggestions
- Cosmetic Foundation Shade Metrics
- Makeup Product Colour Dataset
- Foundation Colour Code and Brand Analysis
Attributes
Original Data Source: Makeup Product Colour Dataset
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