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@article{147777,
        author = {PRASHUL JAIN and ANSHUL CHATTERJEE and ROHIT GUPTA and SAGAR BALPANDE and JOGI JOHN and SAMIKSHA RAUT},
        title = {OBJECT DETECTION USING DEEP LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {10},
        pages = {498-501},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=147777},
        abstract = {This paper deals with the field of computer vision, mainly for the application of deep learning in object detection task. On the one hand, there is a simple summary of the datasets and deep learning algorithms commonly used in computer vision. On the other hand, a new dataset is built according to those commonly used datasets, and choose one of the networks called faster r-cnn to work on this new dataset. Through the experiment to strengthen the understanding of these networks, and through the analysis of the results learn the importance of deep learning technology, and the importance of the dataset for deep learning.

},
        keywords = {deep learning, faster r-cnn, object detection, convnet, neural network},
        month = {},
        }