iTag has been designed for researchers that rely on photographic census techniques of animals that are hard to detect via image recognition algorithms and was originally developed for counting Grey Seals in the German wadden sea during March 2013. It has since then been further expanded and has now reached beta status.
iTag allows Users to define up to 9 different categories and name them accordingly. In addition, 4 modifiers are available to further increase the options during a tagging session. Users are able to load a series of Images into a session and add tags on objects on these images within previously defined categories and modifiers.
Upon ending the session, result files are produced including (if provided by the EXIF data) the gps information for each Picture, the number of objects in each category and a detailed result file that describes each individual object. In addition, all images that were tagged are saved.
Features
- Image Tagging
- Session Reports
- Save / Resume Tagging Sessions
- Individual User Setups
- Up to 9 Main Categories
- 4 Subcategories Per Main Category
- Magnifier Mode Including Image Enhancing Filters
Project Samples
