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
deep-learningdesktopfedorafree-softwareimagejavakeywordskotlinlinuxmacosphotographyresnetsoftwaretaggingubuntuwindows
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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
- Download and install Java 17.
- Download a release from the release page.
- Run the release.
Photo credit: https://unsplash.com/@ndcphoto
Development
If you want to build the application yourself, you will need Java 21 JDK.
The release archive is in the releases page.
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/src/main/resources/AIModels path.
To build the project run:
gradle build
To run:
gradle run
Blog
You can visit my tech blog at https://blog.nuculabs.dev.