By Columbia University, University of Maryland, and Smithsonian Institution
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Birdsnap is an electronic field guide that's a little different from the others. Researchers from Columbia University and the University of Maryland have developed Birdsnap using computer vision and machine learning to explore new ways of identifying bird species. Birdsnap automatically discovers visually similar species and makes suggestions for how they can be distinguished. In addition, Birdsnap uses visual recognition technology to identify birds in images you upload. Based on your location and the time of year, Birdsnap knows which birds are present, and can use this to produce a custom guide to the local birds and to improve the automatic identification results. It covers 500 of the most common North American bird species.
What's New in Version 1.4
- Try out the brand new image recognition function!
- Improved iOS 8 compatibility
- Other bugs fixed and improvements
Great concept bad results
Have to get impossibly to get accurate results. There's no point in taking pictures of birds to identify them if you have to be so close it flies away.
What a shame
Can't download it
- Category: Reference
- Updated: Mar 07, 2015
- Version: 1.4
- Size: 981 MB
- Language: English
- Seller: Peter Belhumeur
- © 2014 Columbia University
Compatibility: Requires iOS 7.0 or later. Compatible with iPhone, iPad, and iPod touch. This app is optimized for iPhone 5.