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Title: :  TRANFORMERS BASED MULTI-LABEL IMAGE CLASSIFICATION AND NAMING
PaperId: :  17609
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 3 2022
DUI:    16.0415/IJARIIE-17609
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
JERIN JACOBIES COLLEGE OF ENGINEERING, KERALA, INDIA
Dr G KIRUTHIGAIES COLLEGE OF ENGINEERING, KERALA, INDIA

Abstract

Computer Engineering
Multilabel images, Vision Transformer (ViT), Multilayer Perceptron (MLP)
In recent years, the use of Machine Learning (ML) which is a type of Artificial Intelligence (AI) has increased rapidly. ML allows software applications to become more accurate in predicting the output without explicitly programmed to do so. Classification is a type of ML which categorizes given data into different classes and is used in speech recognition, face detection etc. Here image classification is considered. Multi-label classification is method of predicting set of labels according to attributes, objects present in the given image. Transformers are classification models which was using in Natural Language Processing (NLP). Now it is using in image classification. The transformer is given the data after feature extraction. Then it will be capable of predicting the labels in the image. Here in this paper, we are considering Vision Transformer (ViT). It is a model for multi-label image classification which can exploit the complex dependencies between visual features and labels. Here the concept of Multilayer Perceptron (MLP) is used to extract the features from the images. In this approach the vision-transformer is trained to predict the masked labels from the input given to it. Here the dataset used for training is the CIFAR-10. The core of this method is a label mask training objective. This model can represent label state explicitly during training. Thus, this model can be effectively applicable in medical image recognitions, wild animal recognitions and so on. This model can work at an efficiency of about 84% in its prediction accuracy.

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IJARIIE JERIN JACOB, and Dr G KIRUTHIGA. "TRANFORMERS BASED MULTI-LABEL IMAGE CLASSIFICATION AND NAMING" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 3 2022 Page 5350-5353
MLA JERIN JACOB, and Dr G KIRUTHIGA. "TRANFORMERS BASED MULTI-LABEL IMAGE CLASSIFICATION AND NAMING." International Journal Of Advance Research And Innovative Ideas In Education 8.3(2022) : 5350-5353.
APA JERIN JACOB, & Dr G KIRUTHIGA. (2022). TRANFORMERS BASED MULTI-LABEL IMAGE CLASSIFICATION AND NAMING. International Journal Of Advance Research And Innovative Ideas In Education, 8(3), 5350-5353.
Chicago JERIN JACOB, and Dr G KIRUTHIGA. "TRANFORMERS BASED MULTI-LABEL IMAGE CLASSIFICATION AND NAMING." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 3 (2022) : 5350-5353.
Oxford JERIN JACOB, and Dr G KIRUTHIGA. 'TRANFORMERS BASED MULTI-LABEL IMAGE CLASSIFICATION AND NAMING', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, 2022, p. 5350-5353. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/TRANFORMERS_BASED_MULTI_LABEL_IMAGE_CLASSIFICATION_AND_NAMING_ijariie17609.pdf (Accessed : 28 March 2023).
Harvard JERIN JACOB, and Dr G KIRUTHIGA. (2022) 'TRANFORMERS BASED MULTI-LABEL IMAGE CLASSIFICATION AND NAMING', International Journal Of Advance Research And Innovative Ideas In Education, 8(3), pp. 5350-5353IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/TRANFORMERS_BASED_MULTI_LABEL_IMAGE_CLASSIFICATION_AND_NAMING_ijariie17609.pdf (Accessed : 28 March 2023)
IEEE JERIN JACOB, and Dr G KIRUTHIGA, "TRANFORMERS BASED MULTI-LABEL IMAGE CLASSIFICATION AND NAMING," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 3, pp. 5350-5353, May-Jun 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/TRANFORMERS_BASED_MULTI_LABEL_IMAGE_CLASSIFICATION_AND_NAMING_ijariie17609.pdf [Accessed : 28 March 2023].
Turabian JERIN JACOB, and Dr G KIRUTHIGA. "TRANFORMERS BASED MULTI-LABEL IMAGE CLASSIFICATION AND NAMING." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 3 (28 March 2023).
Vancouver JERIN JACOB, and Dr G KIRUTHIGA. TRANFORMERS BASED MULTI-LABEL IMAGE CLASSIFICATION AND NAMING. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : 28 March 2023]; 8(3) : 5350-5353. Available from: https://ijariie.com/AdminUploadPdf/TRANFORMERS_BASED_MULTI_LABEL_IMAGE_CLASSIFICATION_AND_NAMING_ijariie17609.pdf
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