# idealo/image-quality-assessment

<https://repo.masters-masters.com/en/repos/idealo/image-quality-assessment>

[Home](https://repo.masters-masters.com/en) › [idealo](https://repo.masters-masters.com/en/owners/idealo) › [image-quality-assessment](https://repo.masters-masters.com/en/repos/idealo/image-quality-assessment)

idealo/image-quality-assessment has 2,241 stars on GitHub. Its RepoMasters card: RC tier. Convolutional Neural Networks to predict the aesthetic and technical…

| Field | Value |
| --- | --- |
| Owner | [idealo](https://repo.masters-masters.com/en/owners/idealo) |
| Stars | 2,241 |
| Forks | 454 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2018 |
| Topics | nima, neural-network, tensorflow, keras, mobilenet, aws, image-quality-assessment, convolutional-neural-networks, deep-learning, computer-vision |
| Tier | [RC (2,000 to 4,999 ★)](https://repo.masters-masters.com/en/ranks/blockbuster) |
| View on GitHub | [idealo/image-quality-assessment](https://github.com/idealo/image-quality-assessment) |

## Repository

Convolutional Neural Networks to predict the aesthetic and technical quality of images.

Archived: this repository is read-only

The tier for repos with 2,000 to 4,999 ★. Published odds per card pulled: 3%. Rarity: Epic.

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