Pinterest Makeup Style Images for Visual Classification

Pinterest-scraped images of makeup styles for computer vision classification tasks. The dataset contains an unspecified number of images. The author, organization, and temporal coverage are unknown.

Use Cases

• Classify makeup style categories using visual features from the scraped images.
• Train a model to detect specific makeup attributes like color palette or application technique from image pixels.
• Develop a content-based image retrieval system for makeup inspiration using the visual dataset.

Strengths

• Images are sourced from Pinterest, a platform known for style and aesthetic content.

Limitations

• The dataset size, number of classes, and image resolution are unspecified.
• Potential for label noise or class imbalance due to the web scraping collection method.
• No information on temporal or geographic coverage of the scraped images.

Provenance

Source

Pinterest

Collection Method

Web scraping