Salient Object Detection using deep learning

  • L Paul Jasmine Rani, S Subha, N Abinaya, S Akshaya, C Madhumitha


Our framework detects all the objects in the image based on data set provided to it. Object detection is the process of identifying the precise location of the object. Objective of this project is detecting objects from videos and also increases the accuracy rate of the detection than the existing model. We incorporate customized dark net CNN algorithm which is the technique of “see” the picture at a deeper level. Further more for fast real time object detection YOLO algorithm can be applied to entire image and it predicts the probability of the image. The proposed work aims to get higher level of accuracy and also higher level of efficiency .