Real-Time Object Detection Program

ABSTRACT

Object Recognition is a technology in the field of computer vision. It is considered to be one of the dfficult and challenging tasks in computer vision. Many approaches have been proposed in the past, and a model with a new approach which is not only fast hut also reliable. This model has been compared with various other models as well. This model looks at the whole image at test time so its predictions are informed by global context .At the prediction time, our model generates scores for the presence of the object in a particular category. It makes predictions with a Single network evaluation. Here object detection is a regression problem to spatially separated bounding boxes and associated class probabilities.