There are 18 repositories under image-tagging topic.
A paper list of awesome Image Tagging
A collaborative tool for labeling image data for yolo
A little Python application to auto tag your photos with the power of machine learning.
This is demo code of how to tag people in image.
A large-scale curated dataset of Visual.ly infographics with metadata and additional crowdsourced annotations for research applications in computer vision and natural language processing.
Image preprocessing, including character cropping, background removal, image enlargement and restoration, PIXIV image downloading, etc. 图片预处理,包括人物裁剪,背景去除,图片放大修复,PIXIV图片下载等
Android App for automated image annotation. The accompanying article is available under the link below.
Anime imageboard browser, aggregator, downloader, tagger, converter, collection manager. Download images from imageboards while keeping or modifying the original tag list, browse and create your own collections, configure workspaces for customizable image downloads with file and tag templating support. Create a workspace for your own images and annotate them with custom metadata such as author and copyright, and tag information.
Image tagger application that predicts an image's keywords using deep-learning. Useful for photographers who want to improve their workflow by auto-tagging images.
Structured Prediction with Deep Value Networks (PyTorch implementation)
Process Caltech Archives' digital documents and photos, and annotate each page or image with information about its contents
A responsive, extensible, declarative (or not), feature rich , framework-less WebComponent to annotate & tag images (Work in progress)
Photo archiving and IPTC tagging application.
AI-Powered Command-Line Photo Tagging Tool
Tags all images from ECR currently in-use inside a Kubernetes cluster with a given tag or a tag prefix
Image Tagging System using PHP and JavaScript
This app allows one to generate tag's for any image. The tags are generated for any object or face. The system is capable of learning new objects and faces on the fly.
Image retrieval and tag refinement
This is a tutorial for Chapter 14 - Image Analytics in Marketing in the Handbook of Marketing Research. Dzyabura D., El Kihal S., Peres R. (2021) Image Analytics in Marketing. In: Homburg C., Klarmann M., Vomberg A.E. (eds) Handbook of Market Research. Springer, Cham. https://doi.org/10.1007/978-3-319-05542-8_38-1 A PDF copy of the paper is also attached to the project
Image tagger application that predicts an image's keywords using deep-learning. Useful for photographers who want to improve their workflow by auto-tagging images.
A transfer learning model, based on NASNetLarge, used for tagging a wide variety of images. Includes a web-based UI to run the trained model.
A collection of Python scripts for performing image library tasks