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

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

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.

This project is a full-stack web application that allows users to upload an image of a fashion item (e.g., shirt, sneaker, bag) and classifies it using a Neural Network (NN) and Convolutional Neural Network (CNN)

Rank 11/529

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

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

Identification of fashion products using deep learning

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

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.