Week10 : Progress and Plan
Object detection is a fundamental function in our project, therefore we worked on implementing the parts. We tested our model to detect the Japanese road sign to confirm that our model successfully detects the object. For training the model, it took 8 hours without GPU. We used SSD mobilenet and found out that our model successfully finds not only the object in the image but also streaming video which comes through the webcam. Below image shows that our model successfully recognized the 4 different signs, “stop”, “speed_10”, “speed_20”, “speed_30”. As we confirm that the model successfully detects the object, we are now trying to train the model with the images that are appropriate for our project which are desk and cellphone. We put the desk in our object detection category because we want our application can return the location of the detected object. For example, the proposing application will return "the 'object' that you are looking for is near t...