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Welcome to the object-detection-for-blind-people-with-speech-as-output wiki!

INTRODUCTION Object detection is a PC innovation identified with PC vision and picture handling that arranges with distinguishing cases of semantic objects of a specific class, (for example, people, fruits, bottles, etc..) in advanced pictures and recordings. Object detection has applications in numerous regions of PC vision, including picture recovery and video observation. This kind of systems with advanced features are used in major real time applications. Objective: Here, our goal is to begin to use artificial neural networks, in the form of artificial neurons, to teach our program what object looks like. In this case, we will use objects, images. We train the data which is further used to classify and identify the image by speech.