(01st June 2019)
One of my project is image detection by Yolo algorithms. We implemented its AI image detection by Mobile APP. The accuracy is depends on the pre study and supervised data. The detection of objects are most likely true. It was OK for initial stage but if we expand the domain of object later, the pre study work is so difficult. Maybe we access the API of the object detection AI. The application which we supervised data is very widely. Now, we are challenge to enhance the accuracy and develop the domain specific object applications.
Example of object detection image of mobile App.
Editing image. We design theicon to defined the area of object which is evaluated its object by AI. The usability of object selection is the most important function in this app
After selected theobject, upload the Image from gallery folder and go to detections. The price of object and related items are crawled by its crawlerand show items details and it’s relatively items. The screen of image detection and select the details of objects are shown as following sample screen.
User of this image detection Mobile App is combined AI supervised server with crawler server.
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