annotate-lab VS label-studio

Compare annotate-lab vs label-studio and see what are their differences.

annotate-lab

Annotate-lab is an open-source image annotation tool for efficient dataset creation. With an intuitive interface and flexible export options, it streamlines your machine learning workflow. 🖼️✏️📑 (by sumn2u)
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annotate-lab label-studio
1 50
102 19,501
- 2.6%
9.6 9.9
20 days ago 7 days ago
JavaScript JavaScript
MIT License Apache License 2.0
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annotate-lab

Posts with mentions or reviews of annotate-lab. We have used some of these posts to build our list of alternatives and similar projects.
  • Streamlining Image Annotation with Annotate-Lab
    1 project | dev.to | 4 Jun 2024
    To install Annotate-Lab, you can clone the repository or download the project from GitHub: Annotate-Lab GitHub Repository. You can then run the client and server separately as mentioned in the documentation or use Docker Compose.

label-studio

Posts with mentions or reviews of label-studio. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-15.
  • Annotation is dead
    1 project | dev.to | 26 Apr 2024
    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.
  • First 15 Open Source Advent projects
    16 projects | dev.to | 15 Dec 2023
    14. LabelStudio by Human Signal | Github | tutorial
  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    18 projects | dev.to | 13 Dec 2023
    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
    32 projects | dev.to | 14 Aug 2023
  • You Can't Have a Free Software AI Stack
    2 projects | news.ycombinator.com | 13 Jul 2023
    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
    1 project | news.ycombinator.com | 4 Jun 2023
  • Best (quickest) way to annotate images for whole-image classification?
    2 projects | /r/learnmachinelearning | 21 May 2023
    LabelStudio is free for single use. https://labelstud.io/
  • Label Studio – Free multi-type data ML labeling and annotation tool
    1 project | news.ycombinator.com | 14 May 2023
  • Way to label yolov7 images fast
    3 projects | /r/computervision | 9 May 2023
    LabelStudio is pretty nice, and free & open source, but I have yet to try out their ML integration with a YOLO object detection model.
  • image labeling online Tools
    1 project | /r/u_Exciting_Ad_841 | 27 Apr 2023
    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.

What are some alternatives?

When comparing annotate-lab and label-studio you can also consider the following projects:

DataTurks - ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]

le-git-graph - Browser extension to add git graph to GitHub website.

doccano - Open source annotation tool for machine learning practitioners.

labelbox-custom-labeling-apps - Explore example custom labeling apps built with Labelbox SDK

awesome-data-labeling - A curated list of awesome data labeling tools

microdiff - A fast, zero dependency object and array comparison library. Significantly faster than most other deep comparison libraries and has full TypeScript support.

diffgram - The AI Datastore for Schemas, BLOBs, and Predictions. Use with your apps or integrate built-in Human Supervision, Data Workflow, and UI Catalog to get the most value out of your AI Data.

Universal Data Tool - Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

haystack - AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

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