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Clustering Without Knowing How To: Application and Evaluation

Daniil Likhobaba, Daniil Fedulov, Dmitry Ustalov

This repository contains code for image clustering system described in the paper Clustering Without Knowing How To: Application and Evaluation

Try our demo on Colab

Implementations

File shoes_clustering.ipynb contains Python implementation of the crowdsourced shoes clustering pipeline (including quality evaluation as described in the paper).

File dress_clustering.ipynb contains Python implementation of the crowdsourced dress clustering pipeline (including quality evaluation as described in the paper).

Citation

  Clustering Without Knowing How To: Application and Evaluation
message: 'If you use this software, please cite the article from preferred-citation.'
type: software
authors:
  - given-names: "Daniil"
    family-names: "Likhobaba"
  - given-names: "Daniil"
    family-names: "Fedulov"
  - given-names: "Dmitry"
    family-names: "Ustalov"
identifiers:
  - type: doi
    value: 10.48550/arXiv.2209.10267
  - type: url
    value: 'https://arxiv.org/pdf/2209.10267.pdf'
repository-code: 'https://github.com/Toloka/crowdclustering'
license: Apache-2.0

Registration and promo-code

Firstly, you need to register as a Requester here: https://toloka.ai/get-started/

Use promo-code CLUST_ECIR2023 to get $30 for trying this demo How to use promo-code