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Damselfly – photo management system

Damselfly is a server-based Digital Photograph Management system. Damselfly is designed to manage a large, folder-based collection of photographs, with a particular focus on fast search and keyword-tagging workflow.

Damselfly includes powerful Machine Learning functions which can help you identify photographs and their subjects, including face detection, face recognition and object detection – allowing you to tag people once, and have Damselfly identify other photos in which they appear.

The user-interface and workflow is loosely based on the Google Picasa app, with a basket to select images for export and other types of processing. Damselfly also provides a desktop/client app which gives closer integraton with your laptop or PC, allowing you to quickly sync a selection of images from the Damselfly basket to a local folder, for editing etc.

This is free and open source software.

Features include:

  • Support for most image formats including JPG, PNG, HEIC, TIFF, Webp, BMP and DNG/CR2/ORF/NEF (RAW) files.
  • AI / Computer vision image recognition:
    • Facial detection.
    • Facial Recognition.
    • Object detection and recognition.
    • Image Colour Classification.
  • Full-text search with multi-phrase partial-word searches.
  • Image re-organisation – move/copy images between folders, and delete images (via a trashcan folder).
  • Advanced search – filter by:
    • Find visually similar images.
    • Date ranges.
    • Objects/Faces/Identified faces.
    • Camera/Lens Make/Model.
    • File Size.
    • Orientation.
    • Images with no keyword tags.
  • Focus on extremely fast performance – searching a 500,000-image catalogue returns results in less than a second.
  • Fast keyword tagging workflow with non-destructive EXIF data updates (using ExifTool) – so JPEGs are not re-encoded when keyword-tagged.
  • Face detection and recognition, and object recognition in images.
  • Multi-user support with user accounts, and role-based entitlements (e.g., users with ReadOnly role are prevented from keyword-tagging images).
  • Download/export processing to watermark images ready for social media, or sending via Email etc.
  • GeoLocation with map display of photo locations where metadata exists.
  • Selection basket for saving images from search results:
    • Images within the basket can be downloaded, exported for use within Digikam/PhotoShop/etc., or uploaded to WordPress.
    • Baskets can be user-specific, or shared with other users.
  • Server-based deployment, with a web-based front-end UI, so the image library can be accessed via multiple devices without having to copy catalogues or other DBs to local device storage.
  • Exclude images from Damselfly scanning by adding a .nomedia file in any folder.
  • Themes.
  • Completely automated background indexing of images, so that the collection is automatically and quickly updated when new images are added or updated.
  • Background thumbnail generation.
  • Electron.Net Desktop Client for hosted site to allow closer native integration with client OS:
    • Desktop Client versions for Linux, macOS (universal), and Windows.
    • Synchronise images from server basket select to local filesystem for editing
    • Other integrations coming in future
  • Cross-platform support – runs under Linux, macOS, and Windows.

Website: github.com/Webreaper/Damselfly
Support:
Developer: Mark Otway
License: GNU General Public License v3.0

Damselfly
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Damselfly is written in C#. Learn C# with our recommended free books and free tutorials.

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