Everypixel User Generated Photography Scoring API enables photo scoring functions in applications. User-Generated Photo Scoring is a model trained on 347 000 of user photos from Instagram. Estimation parameters for this model were prepared by a group of 10 professional photographers.
Scoring methods are based on five classes: very bad (0-20), bad (20-40), normal (40-60), good (60-80) and excellent (80-100).
This model is designed to evaluate user photos taken both by a professional camera and by a camera of a smartphone. It doesn't estimate the plot and do not measure how cool or beautiful a person or an object on a photo may look. It cares only about technical parts like brightness, contrast, noise and so on. The service is not dedicated for scoring historical photos, illustrations or 3D visualizations.
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Everypixel, a stock image search engine that uses AI to analyze images on the basis of aesthetic appeal, has expanded the Everypixel API to include User Generated Content Photography Scoring. The API already provided functionality for image tagging, stock photo scoring, and visual search.