0% Complete
فارسی
Home
/
دوازدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
An Improved Image Classification Based In Feature Extraction From Convolutional Neural Network: Application To Flower Classification
Authors :
Faeze Sadati
1
Behrooz Rezaie
2
1- دانشگاه صنعتی نوشیروانی بابل
2- دانشگاه صنعتی نوشیروانی بابل
Keywords :
machine learning، Convolutional Neural Network، feature extraction، Support Vector Machine، flower classification
Abstract :
Nowadays, deep learning techniques are increasingly growing in machine vision for object recognition, segmentation, classification, and so on, in a wide variety of applications. In this study, we apply the convolutional neural network (CNN) to flower classification. For this purpose, we firstly increase the data with the augmentation techniques and use them in the pre-trained CNN models in which classification part is removed and instead of it, we use global average pooling (GAP) in the last layer for extracting their features. The features obtained from these models are concatenated, and then we use a support vector machine (SVM) as classifier for the flower classification. We use the Oxford 102 flower and the Oxford 17 flower datasets in our experiments. By applying this method, we achieve 96.47% classification accuracy for the Oxford 102 flower and 97.64% classification accuracy for the Oxford 17 flower. The results show the effectiveness of the proposed strategy and perform more accurate classification than the traditional methods.
Papers List
List of archived papers
تخلیهی باری وظایف اینترنت اشیاء بر روی مه محاسباتی با استفاده از الگوریتم حشره آبسوار
عفت تقی زاده بیلندی - آرش دلداری - علیرضا صالحان
Knowledge Extraction from Technical Reports Based on Large Language Models: An Exploratory Study
Parsa Bakhtiari - Hassan Bashiri - Alireza Khalilipour - Masoud Nasiripour - Moharram Challenger
Design and modeling of a waiter robot
Amin Mohammadnejad - Hami Tourajizadeh
An ESB-based Architecture for Authentication as a Service Through Enterprise Application Integration
Masoumeh Hashemi - Mehdi Sakhaei-nia - Morteza Yousef Sanati
OENMOP: Loss-Aware 4×4 and 5×5 and Scalable Non‑blocking Optical Switches Designed for Odd-Even Routing Algorithm for Chip-Scale Interconnection Networks
Negin Bagheri Renani - Elham Yaghoubi - Mina Mohammadirad
ارائه مدل یادگیری ماشین برای پیشبینی سریزمانی باینری از دیدگاه مسئلههای دستهبندی با کاربرد در پیشبینی نتهای موسیقی
نیلوفر ع��دلخانی - حسام عمرانپور
A Biased Random Key Genetic Algorithm for the Dial-a-Ride Problem
ُSomayeh Sohrabi - Koorush Ziarati - Morteza Keshtkaran
Optimal selection of seed nodes by reducing the influence of common nodes in the influence maximization problem
Farzaneh Kazemzadeh - Ali Asghar Safaei - Mitra Mirzarezaee
Experimental analysis of automated negotiation agents in modeling Gaussian bidders
Fatemeh Hassanvand - Dr Faria Nassiri-Mofakham
Enhancing kNN-Based Intrusion Detection with Differential Evolution with Auto-Enhanced Population Diversity
Zohre Karimi - Zeinab Torabi
more
Samin Hamayesh - Version 42.5.2