Object Detection and Recognition in Image Processing

This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. Object Recognition is a technique used in the field of computer. It is assumed to be one of the most difficult and challenging tasks in computer. Many methods have been proposed in the past, and a model with new techniques which is not only fast but also reliable. Easynet model has been compared with many other models as well. At the time of prediction, our model bring forth scores for the presence of the object in a particular category. It makes predictions with a Single network evaluation. Object detection is a regression problem to spatially separated bounding boxes & associated class probabilities.