An Intelligent Fashion Object Classification Using CNN
Every year the count of visually impaired people is increasing drastically around the world. At present time, approximately 2.2 billion people are suffering from visual impairment. One of the major areas where our model will affect public life is the area of house assistance for specially-abled per...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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European Alliance for Innovation (EAI)
2023-11-01
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| Series: | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| Subjects: | |
| Online Access: | https://publications.eai.eu/index.php/inis/article/view/4315 |
| _version_ | 1797633569771749376 |
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| author | Debabrata Swain Kaxit Pandya Jay Sanghvi Yugandhar Manchala |
| author_facet | Debabrata Swain Kaxit Pandya Jay Sanghvi Yugandhar Manchala |
| author_sort | Debabrata Swain |
| collection | DOAJ |
| description |
Every year the count of visually impaired people is increasing drastically around the world. At present time, approximately 2.2 billion people are suffering from visual impairment. One of the major areas where our model will affect public life is the area of house assistance for specially-abled persons. Because of visual improvement, these people face lots of issues. Hence for this group of people, there is a high need for an assistance system in terms of object recognition. For specially-abled people sometimes it becomes really difficult to identify clothing-related items from one another because of high similarity. For better object classification we use a model which includes computer vision and CNN. Computer vision is the area of AI that helps to identify visual objects. Here a CNN-based model is used for better classification of clothing and fashion items. Another model known as Lenet is used which has a stronger architectural structure. Lenet is a multi-layer convolution neural network that is mainly used for image classification tasks. For model building and validation MNIST fashion dataset is used.
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| first_indexed | 2024-03-11T11:55:44Z |
| format | Article |
| id | doaj.art-56301432b3cb408e89093d5013746c01 |
| institution | Directory Open Access Journal |
| issn | 2410-0218 |
| language | English |
| last_indexed | 2024-03-11T11:55:44Z |
| publishDate | 2023-11-01 |
| publisher | European Alliance for Innovation (EAI) |
| record_format | Article |
| series | EAI Endorsed Transactions on Industrial Networks and Intelligent Systems |
| spelling | doaj.art-56301432b3cb408e89093d5013746c012023-11-08T18:37:25ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Industrial Networks and Intelligent Systems2410-02182023-11-0110410.4108/eetinis.v10i4.4315An Intelligent Fashion Object Classification Using CNNDebabrata Swain0Kaxit Pandya1Jay Sanghvi2Yugandhar Manchala3Pandit Deendayal Petroleum University Pandit Deendayal Petroleum University Pandit Deendayal Petroleum University Vardhaman College of Engineering Every year the count of visually impaired people is increasing drastically around the world. At present time, approximately 2.2 billion people are suffering from visual impairment. One of the major areas where our model will affect public life is the area of house assistance for specially-abled persons. Because of visual improvement, these people face lots of issues. Hence for this group of people, there is a high need for an assistance system in terms of object recognition. For specially-abled people sometimes it becomes really difficult to identify clothing-related items from one another because of high similarity. For better object classification we use a model which includes computer vision and CNN. Computer vision is the area of AI that helps to identify visual objects. Here a CNN-based model is used for better classification of clothing and fashion items. Another model known as Lenet is used which has a stronger architectural structure. Lenet is a multi-layer convolution neural network that is mainly used for image classification tasks. For model building and validation MNIST fashion dataset is used. https://publications.eai.eu/index.php/inis/article/view/4315CNNLenetFashion itemsAdamReLuFashion MNIST |
| spellingShingle | Debabrata Swain Kaxit Pandya Jay Sanghvi Yugandhar Manchala An Intelligent Fashion Object Classification Using CNN EAI Endorsed Transactions on Industrial Networks and Intelligent Systems CNN Lenet Fashion items Adam ReLu Fashion MNIST |
| title | An Intelligent Fashion Object Classification Using CNN |
| title_full | An Intelligent Fashion Object Classification Using CNN |
| title_fullStr | An Intelligent Fashion Object Classification Using CNN |
| title_full_unstemmed | An Intelligent Fashion Object Classification Using CNN |
| title_short | An Intelligent Fashion Object Classification Using CNN |
| title_sort | intelligent fashion object classification using cnn |
| topic | CNN Lenet Fashion items Adam ReLu Fashion MNIST |
| url | https://publications.eai.eu/index.php/inis/article/view/4315 |
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