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Tracking and analysis of user engagement metrics such as views and downloads for image assets.
Distinct from Interaction Tracking: Closest candidates focus on DOM interaction tracking or container image version tracking, not asset popularity metrics.
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This project is an open-source visual dataset and machine learning image library. It provides large-scale collections of high-quality photos and metadata designed for training computer vision models and conducting research into image categorization and retrieval. The repository specifically offers semantic search datasets that pair images with AI and human-generated keywords to analyze search intent and visual metaphors. It also serves as an image metadata archive, providing structured EXIF data and camera specifications for technical analysis. The available data covers broad capability area
Records the number of views and downloads for photos to maintain accurate usage statistics.