open-mmlab/mmfashion
Open-source toolbox for visual fashion analysis based on PyTorch
This tool helps fashion businesses analyze visual fashion data, automating tasks like identifying clothing attributes, searching for similar items, or recommending outfits. You input images of garments or models, and it outputs details like clothing categories, segmented fashion items, or suggested compatible outfits. Fashion e-commerce managers, stylists, retailers, or trend analysts would use this.
1,358 stars. No commits in the last 6 months.
Use this if you need to extract detailed information from fashion images, automate product categorization, power visual search, or generate style recommendations.
Not ideal if your primary need is general-purpose image recognition or if you lack the technical expertise to set up and integrate a Python-based toolbox.
Stars
1,358
Forks
302
Language
Python
License
Apache-2.0
Category
Last pushed
May 10, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/open-mmlab/mmfashion"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
zalandoresearch/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
levindabhi/cloth-segmentation
This repo contains code and a pre-trained model for clothes segmentation.
zhengyima/mnist-classification
Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic...
liuziwei7/fashion-detection
Fashion Detection in the Wild (Deep Clothes Detector)
IBM/Fashion-MNIST-using-FfDL
Train your Fashion MNIST model with FfDL on Kubernetes with GPU