idealo / image-quality-assessment

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

Date Created 2018-06-12 (6 years ago)

Commits 78 (last one 5 years ago)

Stargazers 2,133 (4 this week)

Watchers 49 (0 this week)

Forks 452

License apache-2.0

This repository has been archived on Github

Ranking

RepositoryStats indexes 632,869 repositories, of these idealo/image-quality-assessment is ranked #25,135 (96th percentile) for total stargazers, and #42,236 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #3,967/129,221.

idealo/image-quality-assessment is also tagged with popular topics, for these it's ranked: deep-learning (#735/8814), machine-learning (#766/8407), computer-vision (#216/3298), aws (#161/2604), tensorflow (#252/2301), neural-network (#131/1138), keras (#71/808), convolutional-neural-networks (#30/569), e-commerce (#18/214)

Other Information

idealo/image-quality-assessment has 8 open pull requests on Github, 10 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 36 open issues and 57 closed issues.

Homepage URL: https://idealo.github.io/image-quality-assessment/

All Topics

aws nima keras idealo mobilenet e-commerce tensorflow deep-learning neural-network computer-vision machine-learning image-quality-assessment convolutional-neural-networks

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updated: 2025-03-29 @ 09:54am, id: 137086172 / R_kgDOCCvE3A