Projeto final da disciplina EEL7513/EEL7514/EEL510417 - Introdução ao Aprendizado de Máquina.
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Updated
Dec 7, 2019 - Jupyter Notebook
Projeto final da disciplina EEL7513/EEL7514/EEL510417 - Introdução ao Aprendizado de Máquina.
This is a fashion recognition with deep neural networks. TensorFlow and the Fashion-MNIST dataset are used.
SLIIT 4th Year 2nd Semester Machine Learning Project
Classifying Fashion Clothing items using Tensorflow.js in a Web Browser
This is a fashion recognition with convolutional neural networks. TensorFlow and the Fashion-MNIST dataset are used.
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.
TrendMate's API server.
Rank 11/529
In this project, I built a Fashion Recognizer model with CNN on the MNIST Fashion dataset.
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…
Identification of fashion products using deep learning
Multi-class and multi-label images classification for fashion shops
Multi-language and Multi-label Classification Problem on Fashion Dataset
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.
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)
Clothing detection dataset
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