TaggedFrog is a photo organizing and tagging application. It allows users to easily tag, categorize, and search through large collections of photos. Key features include facial recognition to auto-tag people, object detection to identify common items, bulk tagging tools, and customizable organization with user-created tags and hierarchies.
TaggedFrog is a powerful photo organization and tagging application designed to help users manage large personal photo libraries. It provides a suite of advanced features to automatically analyze photos, detect faces and objects, apply relevant tags, and build custom hierarchical categories for organizing your collection.
When you import your photos into TaggedFrog, the software gets to work examining each image and using machine learning algorithms to identify people and objects. Any detected faces are auto-tagged with the person's name (where recognizable). Hundreds of common objects like cars, animals, landmarks etc are also automatically detected and tagged.
Beyond the auto-tagging, TaggedFrog provides customizable manual tagging interfaces so you can easily apply your own hierarchical tags to photos. You can create a taxonomy of nested tags that matches your needs, allowing you to categorize events, locations, seasons, subjects and more within your photo collection.
Once your photos are tagged and organized within TaggedFrog, you gain the power of advanced search capabilities. You can instantly search for photos based on any tags, names or even identified objects. Searches combine terms for incredibly flexible querying, e.g find all photos of John at the beach. With everything tagged and hierarchized, finding any photo or group of photos in your vast library is fast and easy.
Other key features of TaggedFrog include:
With robust automatic tagging & recognition capabilities plus customizable manual tagging features for personalization, TaggedFrog makes it possible to efficiently organize even the largest personal photo collections for easy searching and sharing.
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