By Columbia University, University of Maryland, and Smithsonian Institution
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Leafsnap is the first in a series of electronic field guides being developed by researchers from Columbia University, the University of Maryland, and the Smithsonian Institution. This free mobile app uses visual recognition software to help identify tree species from photographs of their leaves.
Leafsnap contains beautiful high-resolution images of leaves, flowers, fruits, petioles, seeds, and bark to aid identification. These high-resolution images were created by the conservation organization Finding Species.
Leafsnap currently includes trees found in the Northeastern United States and Canada. The inclusion of Canadian trees is through collaboration with the Canadian Wildlife Federation, with support from TD Friends of the Environment Foundation.
What's New in Version 1.07
- Expanded species coverage to Eastern Canada, with 36 new species
- Fixed minor bugs
I don't know what everyone else is saying, this app works pretty while with only a few issues. First thank you to the company that made this!!! Help me out a lot with a tree ID project for my ag. Science class. The only crappy 2 things about this app is you have to have the leaf on a white peace of paper. Second it gives about 15 unrelated leafs how ever, every time I've used it my leaf was in the list, you just have to look for it.
Terrible App, Don't Bother Downloading It
I had high hopes for this app after reading about it in Field & Stream magazine. However, it doesn't live up to the hype. I get "server errors" every time I try uploading an image for identification, and over the course of the past week it hasn't worked once for me. It functions well as a field guide if you want to sort through a bunch of pictures to try and identify a leaf. But the upload portion is garbage. Furthermore, don't expect any tech support help if you go to their website and email them. My email asking for assistance was never replied to.
The app does not seem to be able to upload the image unless you have a wifi connection. That makes it frustrating when you are using the app outside. Next, you have to have the leaf on a white sheet of paper. No white boarder? No analysis. After all that, when the image is finally uploaded, the results sometimes seem completely random. A red oak, an Asian pine, or 20 other possible trees? Never mind. I'll go inside and grab my Audubon field guide.
- Category: Education
- Updated: Jun 05, 2015
- Version: 1.07
- Size: 87.9 MB
- Language: English
- Seller: Peter Belhumeur
- © 2015 Columbia University, University of Maryland, and the Smithsonian Institution
Compatibility: Requires iOS 5.1.1 or later. Compatible with iPhone, iPad, and iPod touch. This app is optimized for iPhone 5.