{"id":23714949,"url":"https://github.com/dnutiu/image-tagging","last_synced_at":"2025-09-03T19:32:10.503Z","repository":{"id":181835102,"uuid":"666357900","full_name":"dnutiu/image-tagging","owner":"dnutiu","description":"Image tagger application that predicts an image's keywords using deep-learning. 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You will get the keywords in the text field, and you can copy them to the clipboard.\n\nAlternatively, you can run the application from the command line and pass the path to the image as an argument.\n\n```bash\nImageTagger.UI \"\\Users\\dnutiu\\Pictures\\image.jpg\"\n```\n\nYou can download the application from the [releases page](https://github.com/dnutiu/image-tagging/releases).\n\n![Image Tagger](./docs/preview.png)\n\nPhoto credit: [https://unsplash.com/@ndcphoto](https://unsplash.com/@ndcphoto)\n\n## Development\n\nIf you want to build the application yourself, you will need Dotnet 7.0 and to place the `AIModels` \nfolder from the release archive in the folder `\\ImageTagger\\ImageTagger.Core\\AIModels`.\n\nThe release archive is in the [releases page](https://github.com/dnutiu/image-tagging/releases).\n\n### Building from source\n\nTo build from source you will need .NET Core 7.0 and optionally make.\n\nThen change directory to the root folder and run:\n\n**Important**: Ensure that you've downloaded a released build and grab the `AIModels` folder from the archive\nand place it in the `\\ImageTagger\\ImageTagger.Core\\AIModels` folder.\n\n```bash\n\n```bash\nmake publish-all\n```\nThe application will be published in the `publish` folder: `ImageTagger.UI\\bin\\Release\\net7.0\\publish`.\n\n# Blog\n\nYou can visit my tech blog at [https://blog.nuculabs.dev](https://blog.nuculabs.dev).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdnutiu%2Fimage-tagging","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdnutiu%2Fimage-tagging","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdnutiu%2Fimage-tagging/lists"}