Abstract
The goal of this study is to detect object using Deep learning algorithm. Object recognition is a subset of computer vision tasks that includes tasks like object recognition in digital images. Predicting the class of a single object in a frame is required for image classification. Object detection incorporates these tasks and assigns a classification to one or more objects in an image. The proposed research would concentrate on image feature extraction and classification, followed by training a model with provided data of images with known classifications using deep learning techniques. The model would then be able to predict the classification of new images and detect entities. The Faster R-CNN is a more precise and efficient way of generating region proposal through region proposal network. The network can detect the positions of various items accurately and quickly.
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Shende, R., Nirkhi, S. (2023). An Approach of Deep Learning Technique for Object Detection. In: Goar, V., Kuri, M., Kumar, R., Senjyu, T. (eds) Advances in Information Communication Technology and Computing. Lecture Notes in Networks and Systems, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-19-9888-1_47
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DOI: https://doi.org/10.1007/978-981-19-9888-1_47
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