hagrid
label-studio
hagrid | label-studio | |
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7 | 50 | |
490 | 16,626 | |
- | 3.0% | |
5.3 | 9.8 | |
about 2 months ago | about 19 hours ago | |
Python | JavaScript | |
- | Apache License 2.0 |
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hagrid
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COMPLETE OVERRIDE, THE WORKER. Reality on the second play. The keyframes were created at full size directly in the txt2img tab of Stable Diffusion all at the same time. It took about 30 minutes.
Not sure how HaGRID is going but one would expected hands problem would be already solved by now.
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Magda s Jitkou a jejich mech před Ústavem robotiky v Praze někdy na konci srpna roku 1982 ;-) #midjourneyart
Pokud sháníš detailní ruce, tak HaGRID by mohl pomoct
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Meirl
For hands and fingers, if you know how to inpaint and/or integrate datasets into your own model, HaGRID is by far the best dataset and there are a few models you can use for basic inpainting/correction. For other limbs you need just a better model and/or learn negative prompts better. The Stable Diffusion sub can help with both.
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Are there any known hand-trained models?
This may be useful? https://github.com/hukenovs/hagrid
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GREAT NEWS!: Automagic 1111 added support for Stable Diffusion 2.0 - thank you so much !!!
By the way, this is the hands-model Emad mentioned yesterday they want to start training on for SD: https://github.com/hukenovs/hagrid
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HaGRID (HAnd Gesture Recognition Image Dataset)
Github
- HaGRID is a large image dataset for hand gesture recognition systems
label-studio
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Annotation is dead
If instead you have a cohort on hand — -i.e., you do not want to send your data to a third party for any reason, or perhaps you have energetic undergrads — -then you could alternatively consider local, open-source annotation such as CVAT and Label Studio. Finally, nowadays, you might instead work with Large Multimodal Models to have them annotate your data; more on this awkward angle later.
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First 15 Open Source Advent projects
14. LabelStudio by Human Signal | Github | tutorial
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Exploring Open-Source Alternatives to Landing AI for Robust MLOps
For instance, the COCO Annotator is a web-based image annotation tool tailored for the COCO dataset format, allowing collaborative labeling with features like attribute tagging and automatic segmentation. Similarly, Label Studio offers an easy-to-use interface for bounding box object labeling in images.
- FLaNK Stack Weekly for 14 Aug 2023
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You Can't Have a Free Software AI Stack
Huh?
I wrote my own system for classifying a stream of texts in Python, I might Open Source it one of these days but I have to get it to the point where it is modular enough that I can customize it to do the particular things I want without subjecting people to my whims... I use it every day and I'm not afraid to demo it because it is rock solid.
My understanding is that my system would not be hard to adapt to work on images for certain kinds of tasks.
Pytorch is open source, Huggingface is open source. CUDA isn't. This is
https://labelstud.io/
and for annotating text spans there are so many open source tools
https://github.com/doccano/doccano
I worked for a company a few years back that built annotation tools for projects we sold to customers but never quite got to a polished general purpose annotator. Today there are an overwhelming number of companies in this space and products I never heard of, many of which are cloud based or paid. Looks like a gold rush to me.
- Label Studio: Open-Source Data Labeling Platform
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Best (quickest) way to annotate images for whole-image classification?
LabelStudio is free for single use. https://labelstud.io/
- Label Studio – Free multi-type data ML labeling and annotation tool
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Way to label yolov7 images fast
LabelStudio is pretty nice, and free & open source, but I have yet to try out their ML integration with a YOLO object detection model.
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image labeling online Tools
Label Studio is an open source data labeling tool that includes annotation functionality. It provides a simple user interface (UI) that lets you label various data types, including text, audio, time series data, videos, and images, and export the information to various model formats.