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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Published Paper Details:
Paper Title
Human Activity Image Classification Using Deep Learning
Authors
YESHWIN SHAARADHA, ROHITH KUMAR, PHINEHAAS KNIGHT
Keywords
Image Classification, CNN, neural nework,
Abstract
Recognizing human activities is a crucial yet difficult study area in the field of computer vision. We suggest context features in this work together with a machine learning model to identify the specific subject activity in the image. To enhance the performance of recognition, we use the dataset from various sources. To provide a high-level representation of human activity recognition based on an image collection, we develop a deep neural network structure. Recognizing human activity necessitates forecasting a person's behaviour using image-based information. The photos are divided into recognized activities. The goal is to forecast human activity using machine learning techniques with the highest degree of accuracy. The CNN Algorithm can be used to categorize the photos. To choose the best architecture, more than two architectures were compared. Finally, the model can be deployed in Django framework.
IJCRT's Publication Details
Unique Identification Number - IJCRT2305281
Paper ID - 236409
Page Number(s) - c187-c195
Pubished in - Volume 11 | Issue 5 | May 2023
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
YESHWIN SHAARADHA, ROHITH KUMAR, PHINEHAAS KNIGHT, "Human Activity Image Classification Using Deep Learning", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.c187-c195, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT2305281.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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