dnutiu/ImageTagger
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Image Tagger is an application that predicts an image's tags using deep-learning. It is useful for photographers who want to improve their workflow by auto-tagging images. https://blog.nuculabs.dev
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readme.md

Image Tagger

Image Tagger is a simple software application for predicting an image's keywords using a deep learning model based on resnet.

It allows photographers to automate the image tagging process. 📸

Instructions

  1. Download a release from the release page.
  2. Unzip the release.
  3. Run ImageTagger\image\bin\ImageTagger.

./docs/application.png

Photo credit: https://unsplash.com/@ndcphoto

Development

If you want to build the application yourself, you will need Java 17 JDK and the AI models available in the AIModels release.

The release archive is in the releases page.

Note: Some desktop related features do not work under Linux. I have tested them on Fedora 39. Contributions are welcome :-)

Building and Running from source

To build from source you will need Java 17 JDK and Gradle.

Due to some GitHub limitations that do not allow me to upload large files, you'll need to download the AIModels zip file which contains the deep learning models and place them into the ImageTagger/img-ai/src/main/resources/dev/nuculabs/imagetagger/ai/ path.

To build the project run:

gradle build

To run:

gradle run

Blog

You can visit my tech blog at https://blog.nuculabs.dev.

Credits