applied sciences Article Inferring Emotion Tags from Object Images Using Convolutional Neural Network Anam Manzoor 1, Waqar Ahmad 1,*, Muhammad Ehatisham-ul-Haq 1,* , Abdul Hannan 2, Muhammad Asif Khan 1 , M. Usman Ashraf 2, Ahmed M. Alghamdi 3 and Ahmed S. Alfakeeh 4 1 Department of Computer Engineering, University of Engineering and Technology, Taxila 47050, Pakistan;
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[email protected] (M.E.-u.-H.) Received: 5 July 2020; Accepted: 28 July 2020; Published: 1 August 2020 Abstract: Emotions are a fundamental part of human behavior and can be stimulated in numerous ways. In real-life, we come across different types of objects such as cake, crab, television, trees, etc., in our routine life, which may excite certain emotions. Likewise, object images that we see and share on different platforms are also capable of expressing or inducing human emotions. Inferring emotion tags from these object images has great significance as it can play a vital role in recommendation systems, image retrieval, human behavior analysis and, advertisement applications.