National Database Seeks Least Bittern Pix and More

This from eBird:

What if a computer could identify a Merlin by its photograph?

With recent advances in computer vision, this idea is no longer a pipe dream.  The Cornell Lab is teaming up with computer vision researchers, the Visipedia team, at UC-San Diego, UC-Berkeley and Caltech to tackle this challenge.

To get this effort rolling, we are building a database of 70,000 correctly identified images to train our system to identify 550 North American birds, and we are looking for people to share their images of these species. Click here to contribute your photos!

(One of the birds they need pix of is a Least Bittern… Hmmm….)


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