Required to create a machine learning algorithm to accurately identify amphibians directly from their captured images/photos taken by user scientists using their smartphone camera.
Our AI engineers did a fantastic job to design the algorithm logic, but we also had to create a smart workflow logic as well. This endeavor was accomplished by our UI/UX engineers and statistical program analyst to build a user friendly interphase for smooth delivery during their research.
The finished app is used as a tool by nature scientists to complement their work of research.
They are able to capture photos of the subject amphibian, identify it, add description and store it under the right classification in the database.
Thanks to the great work of our team of engineers designing this computer vision algorithm, scientists can seamlessly view the numeric values of captured images of each subject amphibian in the database for further population analysis.
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