encord-team / text-to-image-eval

Evaluate custom and HuggingFace text-to-image/zero-shot-image-classification models like CLIP, SigLIP, DFN5B, and EVA-CLIP. Metrics include Zero-shot accuracy, Linear Probe, Image retrieval, and KNN accuracy.

Date Created 2024-02-09 (about a year ago)

Commits 89 (last one 7 months ago)

Stargazers 45 (0 this week)

Watchers 3 (0 this week)

Forks 1

License apache-2.0

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RepositoryStats indexes 623,832 repositories, of these encord-team/text-to-image-eval is ranked #513,220 (18th percentile) for total stargazers, and #415,836 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #13,984/18,704.

Other Information

encord-team/text-to-image-eval has 1 open pull request on Github, 79 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 3 open issues and 0 closed issues.

Homepage URL: https://encord.com

All Topics

knn-search linear-probing evaluation-metrics zero-shot-retrieval embedding-evaluation evaluation-framework embeddings-extraction model-evaluation-metrics text-to-image-evaluation zero-shot-classification zero-shot-image-classification

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89 commits on the default branch (main) since jan '22

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updated: 2025-03-07 @ 01:53pm, id: 755157871 / R_kgDOLQLLbw