A ‘behind the scenes’ of how a complex computer vision product is developed: ● solving the problem of running an object detection model on weak hardware ● dealing with false positive results and an unbalanced dataset ● teaching a machine to distinguish nearly identical looking bird species.
A ‘behind the scenes’ of how a complex computer vision product is developed: ● solving the problem of running an object detection model on weak hardware ● dealing with false positive results and an unbalanced dataset ● teaching a machine to distinguish nearly identical looking bird speciesWe have summarized this news so that you can read it quickly. If you are interested in the news, you can read the full text here. Read more: