![]() Studies show that as high as 48% of dogs with no genetic evidence of being Pit Bulls have been misidentified as Pit Bull-type dogs. The accuracy rate for breed-identification varies significantly from shelter to shelter and staff to staff. Leaving over 1.089 million dogs across the country to be misidentified or mislabeled yearly.Ĭurrently, there are no standardized procedures across the U.S. each year, but only an alarming 67% are correctly identified of their primary or secondary breed by shelter staffs. The ProblemĪccording to an article in the Smithsonian (2018), roughly 3.3 million dogs enter animal shelters in the U.S. ![]() ![]() Create a high-accuracy tool for shelters to correctly identify breed combinations and percentages of cross and mixed-bred dogs and cats using machine learning, and help raise adoption rates of shelter animals as a result.
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