Why try this?
Any experienced birder has answered hundreds of ID queries from friends, family and curious colleagues. But what about all those people who don’t have a birder as a friend? They are increasingly turning to the internet for their answers, struggling to get a meaningful result by typing a description of a bird into a search engine. Now, a new project at the Cornell Lab is trying to change this scenario and offer a simple question-and-answer session to provide answers to everyday bird ID queries. Merlin, an upcoming bird ID tool, uses a combination of eBird data, crowdsourced bird attributes and machine learning algorithms to help people get an answer and grow their interest in birds. What if you have a photo too?