primaryobjects/fashion
The Fashion-MNIST dataset and machine learning models.
This project helps fashion designers, e-commerce retailers, and clothing manufacturers automatically identify clothing items in images. It takes images of apparel (like shirts, pants, or shoes) and categorizes them into 10 different clothing types. E-commerce managers or anyone needing to sort large inventories of fashion images would find this useful.
No commits in the last 6 months.
Use this if you need to automatically classify images of clothing into specific categories for inventory management, visual search, or data analysis.
Not ideal if you need to detect subtle details, specific brands, or multiple clothing items within a complex image, as it focuses on basic categorization of single items.
Stars
24
Forks
8
Language
R
License
—
Category
Last pushed
Oct 24, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/primaryobjects/fashion"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
open-mmlab/mmfashion
Open-source toolbox for visual fashion analysis based on PyTorch
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.
liuziwei7/fashion-detection
Fashion Detection in the Wild (Deep Clothes Detector)
zhengyima/mnist-classification
Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic...