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A Review: Image Classification and Object Detection with Deep Learning

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Applications of Artificial Intelligence in Engineering

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Deep learning has been developed as an efficient machine learning approach that incorporates several layers of features or data interpretation and delivers state-of-the-art results. The application of deep learning has illustrated amazing performance in various fields of implementation, especially in the field of image classification, segmentation, and object detection. Recent developments in deep learning methods are promoting efficiency in fine-grained image classification, which intends to differentiate between sub-categories. In this paper, we include a thorough analysis of the different deep architectures and frameworks illustrating the model specifications. CNN or convolutional neural network has been the fundamental way to go for object detection computer vision and much more. But with the development of data into a more complex form, classical CNN is not capable to provide up to the mark results. Hence, this review paper is made with the aim to bring some prominent models and techniques back into the light and provide their results on different popular datasets. There have been key discoveries made which are discussed throughout the paper.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Faculty of Engineering and Technology, PDM University, Bahadurgarh, India

    Aditi

  2. Department of Computer Science and Engineering, Faculty of Engineering and Technology, PDM University, Bahadurgarh, India

    Aman Dureja

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  1. Aditi
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  2. Aman Dureja
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Correspondence to Aditi .

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Editors and Affiliations

  1. School of Computing, University of Eastern Finland, Kuopio, Finland

    Xiao-Zhi Gao

  2. Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India

    Rajesh Kumar

  3. Department of Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sumit Srivastava

  4. Department of Electrical Engineering, University of Engineering and Management, Jaipur, Rajasthan, India

    Bhanu Pratap Soni

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Aditi, Dureja, A. (2021). A Review: Image Classification and Object Detection with Deep Learning. In: Gao, XZ., Kumar, R., Srivastava, S., Soni, B.P. (eds) Applications of Artificial Intelligence in Engineering. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-4604-8_6

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