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GallerI is a android gallery application which classifies images on device. The application is built using kotlin and the classification model is made using tensorflow lite model based on mobilenet v2.

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GallerI

GallerI is a android gallery application which classifies images on device. The application is built using kotlin and the classification model is made using tensorflow lite model based on mobilenet v2.

Screenshot 1 Screenshot 2 Screenshot 3 Screenshot 4

The Dataset is built by scrapping Unsplash and can be found here : Kaggle Link. It has Following categories:

No. Second Header
1 nature
2 people
3 architecture
4 fashion
5 health
6 interiors
7 street-photography
8 technology
9 travel
10 textures-patterns
11 business-work
12 animals
13 food-drink
14 athletics
15 arts-culture
16 history

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GallerI is a android gallery application which classifies images on device. The application is built using kotlin and the classification model is made using tensorflow lite model based on mobilenet v2.

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