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The CheXpert 8x200 image-image and text-image retrieval evaluation sets

Preparation

The images used in this evaluation are drawn from the CheXpert dataset. Please make sure to download the CheXpert dataset with all images before proceeding.

Data Files

  1. image-retrieval: This directory hosts files for the image-image retrieval evaluation.
  • candidate.csv: This file contains the paths of 8x200 candidate images, along with original labels in the CheXpert dataset. The paths are relative to the original CheXpert download directory.

  • query.csv: This file contains expert-selected query images. For each one of the 8 disease categories, 10 query images are provided.

  1. text-retrieval: This directory hosts files for the text-image retrieval evaluation.
  • candidate.csv: This file contains the paths of the same 8x200 candidate images drawn from the CheXpert dataset.

  • query.csv: This file contains expert-written text queries. For each one of the 8 disease categories, 10 textual queries are provided.

Evaluation

A retrieved image from all the candidates is considered correct only if its label matches the label of the query image or text. For example, for a query image from the Atelectasis category, a retrieved image is only considered a positive retrieval if its label for Atelectasis is 1. The retrieval metrics such as Precision@10 are then calculated based on this criterion.

Reference

For details on how the data is collected and used, please refer to this paper.

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Text-image Retrieval

Greate job. Can you provide an example on how to implement Text-image Retrieval?

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