# twitter-research/image-crop-analysis

<https://repo.masters-masters.com/en/repos/twitter-research/image-crop-analysis>

[Home](https://repo.masters-masters.com/en) › [twitter-research](https://repo.masters-masters.com/en/owners/twitter-research) › [image-crop-analysis](https://repo.masters-masters.com/en/repos/twitter-research/image-crop-analysis)

twitter-research/image-crop-analysis has 256 stars on GitHub. Its RepoMasters card: Alpha tier. Code for reproducing our analysis in the paper titled: Image…

| Field | Value |
| --- | --- |
| Owner | [twitter-research](https://repo.masters-masters.com/en/owners/twitter-research) |
| Stars | 256 |
| Forks | 40 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | machine-learning, computer-vision, image-processing, bias, fairness-ml, fairness, research |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [twitter-research/image-crop-analysis](https://github.com/twitter-research/image-crop-analysis) |

## Repository

Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.