https://github.com/federicob/fashionml

Machine Learning applied to fashion world
https://github.com/federicob/fashionml

computer-vision fashion machine-learning pytorch

Last synced: 3 months ago
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Machine Learning applied to fashion world

• Host: GitHub
• URL: https://github.com/federicob/fashionml
• Owner: federicoB
• License: gpl-3.0
• Created: 2021-12-11T22:02:13.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-12-16T22:13:24.000Z (almost 4 years ago)
• Last Synced: 2025-06-21T00:41:00.227Z (4 months ago)
• Topics: computer-vision, fashion, machine-learning, pytorch
• Language: Python
• Homepage:
• Size: 39.1 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

          
Inspired by Zalando [Fashion DNA](https://research.zalando.com/project/fashion_dna/fashion_dna/) encoding, I wanted to try to recreate it by also using the opportunity offered by their released [Feidegger](https://github.com/zalandoresearch/feidegger) dataset.

I implemented the code to optimally download the dataset, and I firstly implemented a Linear Autoencoder (with disastrous results). The outcome was way better with a Convolutional autoencoder. I then used the learned encoding and a KDtree to search similarities between articles, and the queries results are shown in the following pictures.

I then moved to develop a DCGAN architecture both for generation and encoding, but without success for now, as highlighted in this [issue](https://github.com/federicoB/fashionML/issues/3).

![image](https://user-images.githubusercontent.com/15829877/145912334-68cf283c-3a51-4f94-9960-234c7e5aa046.png)

![image](https://user-images.githubusercontent.com/15829877/145912377-2046a3ee-f491-4873-a066-fdcf07282f21.png)

![image](https://user-images.githubusercontent.com/15829877/145912396-9d2fc8d6-da70-4a46-bf15-4f1a60baac70.png)