Clothing detection dataset

State-of-the-art CLIP/SigLIP embedding models finetuned for the fashion domain. +57% increase in evaluation metrics vs FashionCLIP 2.0.

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-class and multi-label images classification for fashion shops

Multi-language and Multi-label Classification Problem on 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…

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

TrendMate's API server.

Rank 11/529

This is a fashion recognition with deep neural networks. TensorFlow and the Fashion-MNIST dataset are used.

Identification of fashion products using deep learning

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.

In this project, I built a Fashion Recognizer model with CNN on the MNIST Fashion dataset.