Hi all, Last year I found myself in a situation where I needed to have some 10000 pictures automatically tagged. I discovered that all existing software either cost a ridiculous amount of money, required a subscription, and/or was cloud based. So I decided to write an open source tool that runs on the local machine and is free for everyone to use. There are binaries for Linux, Windows and ...
It is useful for photographers who want to improve their workflow by auto-tagging images. - GitHub - dnutiu/ImageTagger: 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.
digiKam 8.3 open-source, free, and cross-platform advanced digital photo management application is now available for download as a major release that introduces new features and fixes numerous bugs and issues. ... Highlights of digiKam 8.3 include a new tool to automatically tag images using a Deep Learning neural network engine, which is ...
Display HEIC (high efficiency image format) files, PC & Android 9. Tag and play audio and video files. Use keyword list files and checkbox entry. Search metadata with an easy to use visual interface. Set metadata in seconds using abbreviations for frequently used tag values. Write metadata tags to any file type supported by ExifTool.
The results are loaded in a table below so you can see which tags are detected for each image. If you are satisfied with the results, you can then press the button Write tags in images to write the found tags in the metadata of the image (IPTC, IIM Application 2, Keywords). Each tag is appended to the existing ones and will not be written if it ...
It's open source and has AI tagging for things like object recognition, color detection and location. ... Love the AI auto tagging features and geo mapping. A feature that is long being left as a secondary element. ... A few manual tagging requests each time you open sounds like a nice way of gradually improving the system and quality of the tags.
RAM exhibits exceptional image tagging capabilities with powerful zero-shot generalization; Reproducible and affordable. RAM requires Low reproduction cost with open-source and annotation-free dataset; Flexible and versatile. RAM offers remarkable flexibility, catering to various application scenarios.
Find an image viewing software that recognizes those tags/keywords and lets me do searching Are there already projects on hugging-face that do these steps? Also, I imagine with 1000s of images I'll probably want some type of data base to manage to photos for faster searching with tags/keywords.
4. VOTT(Visual Object Tagging Tool) — 3001 stars Github. V oTT is an open-source annotation and labelling tool for image and video assets. VoTT is a React + Redux Web application written in TypeScript. The authors bootstrapped this project with Create React App.
Among the array of open-source image labelling APIs available, one stands out as a leader in terms of innovation and performance: the Image Tagging Content API. This API has garnered attention for ...
What is Image Tagging? Image tagging refers to selecting one or more tags that represent an attribute associated with an image. There are two ways of tagging images: manually or automatically. Manual tagging is useful if you have a low number of images that should be given a particular tag (i.e. a “featured” section on a website).
Open source image tagging software plays a crucial role in organizing and managing visual data, making it easier for users to categorize and retrieve images based on specific attributes. These tools are particularly valuable in fields such as machine learning, where labeled datasets are essential for training algorithms. ...
Auto Tagging is now faster and more accurate, utilizing the latest YOLOv11 Nano, YOLOv11 XLarge, and EfficientNet B7 Deep-Learning Neural Network models. To reduce the data file size at startup, the older YOLOv5 and ResNet-50 models have been removed. The auto-tags scan tool is now available in the Tags tab on the left sidebar for improved ...
The ultimate open-source AI tagging tool for image galleries using metadata, or .txt files for AI training. Using newest wd-vit-tagger-v3 model by SmilingWolf ai tags tagging image-captioning tagger image-to-text nsfw image-tagging tagging-tool metadata-tags nsfw-classifier ai-image-tagging image-tagger
4o image generation rolls out starting today to Plus, Pro, Team, and Free users as the default image generator in ChatGPT, with access coming soon to Enterprise and Edu. It’s also available to use in Sora. For those who hold a special place in their hearts for DALL·E, it can still be accessed through a dedicated DALL·E GPT.
"I always get asked what my favorite **Open Source** eval tool is. The most impressive one thus far to me is Phoenix." Hamel Husain Founder, Parlance Labs "As LLM-powered applications increase in sophistication and new use cases emerge, deeper capabilities around LLM observability are needed to help debug and troubleshoot. We’re pleased to ...
AutoRAG sets up a RAG pipeline for you, using the building blocks of Cloudflare’s developer platform. Instead of you having to write code to create a RAG system using Workers AI, Vectorize, and AI Gateway, you just create an AutoRAG instance and point it at a data source, like an R2 storage bucket.. Behind the scenes, AutoRAG is powered by two processes: indexing and querying.
As OpenAI rolls out the new GPT-4o image generation mode to free-tier ChatGPT users, the company is also experimenting with both visible and invisible watermarking techniques to help better ...
