New post on the #liiive blog: Introducing the Path drawing tool. https://liiive.now/blog/2025-07-path-drawing-tool/ #IIIF #ImageAnnotation
If you haven’t checked in on #IMMARKUS lately (understandable—there’s been a lot going on!)—we’ve added even more transcription service options.
You can now run OCR or full-text transcription with a single click using:
• Anthropic Claude
• Azure Computer Vision
• Google Gemini
• Google Vision OCR
• LLaMA & Qwen via kluster.ai
• OCR.space
• OpenAI GPT
• Volcano Engine Doubao 1.5 Vision Pro
Try it out here: https://immarkus.xmarkus.org
We’re adding more OCR and image annotation services to #IMMARKUS!
Now available: Google Vision API — which actually works really well with historical materials, too. 
(Note: you’ll need to bring your own API key.)
Aaaand… we’re already experimenting with bringing MapReader outputs into our #IMMARKUS annotation tool—for validation, cleanup, correction, and further analysis. (Seen here: a map with ~2,500 transcribed labels.) #ImageAnnotation #IIIF #Annotorious
Haven't explored IMMARKUS yet? Now’s a great time!
• New docs w/ clearer guides and (animated) screenshots
• Multi-image annotation workbench (IIIF or local files)
• Use AI tools for fast region selection
• Build + explore your own ontology & knowledge graph
• 100% local, open source, in your browser
#IMMARKUS update: our next release will complete the toolbox—bringing the full set of #computervision and #AI-powered drawing tools!
• Smart Scissors – trace edges, Photoshop-style.
• Edge Snap – snap to corners & lines for clean cutouts.
• Auto Select – smart one-click object selection.
Want to know more? Ping us! #IIIF #ImageAnnotation #DigitalHumanities
Fixed a bug today that makes https://liiive.now more robust on unstable connections. For those of you annotating on your commute, in the corner café, or through your neighbour’s patchy WiFi (or eduroam even!) #IIIF #ImageAnnotation #DigitalHumanities
I'm excited! This time, it's not just a prototype: AI-powered selection tools are *actually* coming to #IMMARKUS as a feature – thanks to the great team of the #MARKUS project. #DigitalHumanities #IIIF #ImageAnnotation #Annotorious
Working on one of these, again. #Annotorious #ImageAnnotation
Google's ImageInWords (IIW) is a framework for creating hyper-detailed image descriptions. The process starts with object detectors and a Vision-Language Model (VLM) generating initial captions, which are then refined by human annotators. This results in a high-quality dataset of 9018 images with detailed descriptions, improving AI training for image generation and classification.
https://google.github.io/imageinwords/
#AI #MachineLearning #ImageAnnotation #ComputerVision #AIResearch
