There are 5 repositories under fashion-classifier topic.
Clothing detection dataset
Clothing detection dataset
pytorch implementation of the deepfashion architecture (https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.pdf)
An image recognition model which is capable of identifying the pattern on a dress image
Implementation of a convolutional neural network model on real life data (self-taken images). Using transfer learning technique with a pre-trained model (VGG16) to classify images of clothing, built by Keras, Python.
Multi-language and Multi-label Classification Problem on Fashion Dataset
Multi-class and multi-label images classification for fashion shops
There's been much speculation in recent years about neural networks technologies and other deep learning algorithms, primarily because of the popularity of several implementations in the sector utilizing these techniques. Consequently, this hype has yielded several innovative ideas to build open-source libraries and methods to enable the average income tech-savvies to achieve their objective. This research paper aims to examine and illustrate how to use deep learning technologies and algorithms to precisely classify a dataset of fashion images into their respective clothing categories. First, the paper shows the general knowledge of convolutional neural networks (CNN) and the techniques of image classification. Later on, it also discusses the methodology of building a neural network and the simulation process. The results of the neural network simulation are compressively evaluated and discussed.
Projeto final da disciplina EEL7513/EEL7514/EEL510417 - Introdução ao Aprendizado de Máquina.
Classifying Fashion Clothing items using Tensorflow.js in a Web Browser
SLIIT 4th Year 2nd Semester Machine Learning Project
Rank 11/529
Identification of fashion products using deep learning
Visual classification of commercial products is a branch of the wider fields of objectdetection and feature extraction in computer vision, and, in particular, it is an important step inthe creative workflow in fashion industries.
This is a fashion recognition with convolutional neural networks. TensorFlow and the Fashion-MNIST dataset are used.
This is a fashion recognition with deep neural networks. TensorFlow and the Fashion-MNIST dataset are used.
In this project, I built a Fashion Recognizer model with CNN on the MNIST Fashion dataset.