GKalliatakis/Keras-VGG16-places365

Keras code and weights files for the VGG16-places365 and VGG16-hybrid1365 CNNs for scene classification

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Emerging

This tool helps you automatically identify what kind of scene is depicted in an image. You input an image, and it tells you if it's a 'cafeteria', 'food court', 'restaurant patio', or one of 362 other scene types. It's designed for anyone working with large collections of images who needs to categorize them by their environmental context, such as a photo archivist or a real estate analyst.

203 stars. No commits in the last 6 months.

Use this if you need to quickly and accurately classify images based on the broader scene or environment they portray.

Not ideal if you need to identify specific objects or people within an image, as it focuses solely on scene recognition.

image-classification scene-recognition visual-content-analysis digital-asset-management environmental-tagging
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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Stars

203

Forks

79

Language

Python

License

MIT

Last pushed

Nov 23, 2023

Commits (30d)

0

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