Transfer learning based object detection by using convolutional neural networks

Object detection has become an important task for various purposes in our daily lives. Machine learning techniques have been used for this task from earlier but they are used for the classification of image based species to extract the feature set. This task of deciding the feature set helps to decide the desired object detection. To overcome the object classification problem, this paper proposes a transfer learning-based deep learning method. The different convolutional neural networks (CNN) are used in this work. Here for the improvement in the result, the majority voting scheme is used. Based on the high accuracy, the objects are detected using the specific model. The results obtained have shown incredible improvement in the accuracy of the proposed work when compared to the different CNN models.

Keywords: Object detection, Deep Learning, Convolution Neural Network (CNN), Transfer learning.