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Showing posts from November, 2019

How to detect an object in real time using keras-yolo3?

Another post starts with you beautiful people! In the past few months I was working on a complex object detection and recognition problem. My client is from a leading winery industry and they had an existing system built on  vgg19   and  keras-retinanet . This system was built to help client in their sales forecasting. The problem with current system was it was inaccurate- it did not detect most of the wine bottles and brands, it did not give the result in real time. You can imagine how this bad model can affect the business! To solve the existing issues I tried a lot of things- changing hyperparameters, increasing the datasets, different  keras applications  but it was not giving me satisfactory result. May be I was not doing it right but I had put a lot of time and efforts with it. Then while doing R&D, I read  this fantastic blog  and I came to know about a state of the art and real time object detection system-  YOLO . You Only Look...