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 (7 months ago)

Commits 89 (last one 2 months ago)

Stargazers 35 (0 this week)

Watchers 4 (0 this week)

Forks 1

License apache-2.0

Ranking

RepositoryStats indexes 567,262 repositories, of these encord-team/text-to-image-eval is ranked #523,784 (8th percentile) for total stargazers, and #367,270 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,474/16,369.

Other Information

encord-team/text-to-image-eval has Github issues 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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

The primary language is Jupyter Notebook but there's also others...

Opengraph Image

updated: 2024-10-03 @ 02:28pm, id: 755157871 / R_kgDOLQLLbw