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image classification

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•A.KALYAN •T.MAHESH •Md.MUBEEN •D.SAI VIKAS •N.VISHNUVARMA MRCE IMAGE CLASSIFICATION PRESENTED BY: GUIDE: Mrs.B.Madhavi
ABSTRACT Image Classification is a fundamental task that attempts to comprehend an entire image as a whole. The goal is to classify the image by assigning it to a specific label. Typically, Image Classification refers to images in which only one object appears and is analyzed. In contrast. We used Anaconda navigator for this project (where python programing is compiled) In python to perform image classification, tensorflow pakage is used to create neural network
DEEP LEARNING
ARTIFICIAL NEURAL NETWORK Artificial neural networks, usually simply called neural networks or neural nets, are computing systems inspired by the biological neural networks EXISTING METHOD
variations DISADVANTAGEDS To much computation. Treats local pixels same as pixels far apart. Sensitive to location of an object in an image
CONVOLUTIONAL NEURAL NETWORK PROPOSED METHOD
MAX POOLING
DEMONSTRATION
FUTURE SCOPE 1. Using image recognitionin city guides based on photos taken by tourists and photo databases on Facebook or Instagram. 2. Self-driving cars – it will become a reality and not just a vision of the future. 3. Medicine – the use of photo recognition for fast and accurate medical diagnoses based on data obtained from medical photos. According to specialists, this type of technology may be the first in the area of ​​recognizing cancerous lesions, for example: melanoma.
REFERENCE 1.MohdAzlan Abu, Nurul HazirahIndra (2019) - Image classification using deep neural network. 2- Karan Chauhan, Shrwan Ram (2018) - Image classification using deep learning based on keras and tensorflow. 3- Dr. Vinayak Bharadi, Misbah Naimuddin Panchbhai (2017) - Image classification using deep learning. 4- M Manoj Krishna, M Neelima (2018) - Image classification using deep neural network. 5- W. A. Ezat, M Desouky and N A Ismail(2020) - Image classification using convolutional neural network. 6- Jun-e-Liu, Feng-Ping An(2019) Image Classification Algorithm based on Deep Learning – Kernel Function. 7- Muthukrishnan Ramprasath, M. Vijay Anand(2018) Image Classification using Convolutional Neural Network

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image classification

  • 2. ABSTRACT Image Classification is a fundamental task that attempts to comprehend an entire image as a whole. The goal is to classify the image by assigning it to a specific label. Typically, Image Classification refers to images in which only one object appears and is analyzed. In contrast. We used Anaconda navigator for this project (where python programing is compiled) In python to perform image classification, tensorflow pakage is used to create neural network
  • 4. ARTIFICIAL NEURAL NETWORK Artificial neural networks, usually simply called neural networks or neural nets, are computing systems inspired by the biological neural networks EXISTING METHOD
  • 5. variations DISADVANTAGEDS To much computation. Treats local pixels same as pixels far apart. Sensitive to location of an object in an image
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  • 14. FUTURE SCOPE 1. Using image recognitionin city guides based on photos taken by tourists and photo databases on Facebook or Instagram. 2. Self-driving cars – it will become a reality and not just a vision of the future. 3. Medicine – the use of photo recognition for fast and accurate medical diagnoses based on data obtained from medical photos. According to specialists, this type of technology may be the first in the area of ​​recognizing cancerous lesions, for example: melanoma.
  • 15. REFERENCE 1.MohdAzlan Abu, Nurul HazirahIndra (2019) - Image classification using deep neural network. 2- Karan Chauhan, Shrwan Ram (2018) - Image classification using deep learning based on keras and tensorflow. 3- Dr. Vinayak Bharadi, Misbah Naimuddin Panchbhai (2017) - Image classification using deep learning. 4- M Manoj Krishna, M Neelima (2018) - Image classification using deep neural network. 5- W. A. Ezat, M Desouky and N A Ismail(2020) - Image classification using convolutional neural network. 6- Jun-e-Liu, Feng-Ping An(2019) Image Classification Algorithm based on Deep Learning – Kernel Function. 7- Muthukrishnan Ramprasath, M. Vijay Anand(2018) Image Classification using Convolutional Neural Network