Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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Jan 13, 2026 - Python
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Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
data-science machine-learning annotation data-validation exploratory-data-analysis weak-supervision outlier-detection labeling datasets data-cleaning active-learning data-quality data-profiling anomaly-detection data-curation data-annotation noisy-labels out-of-distribution-detection data-labeling data-centric-ai
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.
kubernetes data-science data machine-learning deep-learning image-annotation annotation video-annotation annotations data-analytics labeling datastore datasets annotation-tool data-annotation training-data
A list of tools for annotating data, managing annotations, etc.
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
nlp data-science machine-learning natural-language-processing computer-vision annotation artificial-intelligence spacy prodigy active-learning annotation-tool data-annotation labeling-tool machine-teaching
Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.
nginx machine-learning computer-vision deep-learning clustering mcp image-processing artificial-intelligence apis object-detection post-processing restful-api hazard-detection hdbscan data-annotation fastapi alert-system fastmcp yolo26
AI Auto Annotation & YOLO Training Pipeline, End-to-end object detection auto-labeling and YOLO training platform. VLM-powered annotation with NVIDIA LocateAnything-3B, manual refinement, one-click YOLO training, video keyframe extraction, and model validation. Supports image and video.
react machine-learning computer-vision deep-learning video-annotation pytorch nvidia yolo object-detection vlm data-annotation fastapi ultralytics yolo-training auto-labeling locate-anything
🧬 A JupyterLab extension for annotating data with Prodigy
nlp data-science machine-learning natural-language-processing computer-vision jupyter annotation artificial-intelligence spacy jupyterlab prodigy active-learning annotation-tool data-annotation labeling-tool machine-teaching
The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals
time-series matlab machine-learning-algorithms activity-recognition wdk data-annotation wearable-computing recognition-chain
NVIDIA CoC Autolabeler is an open autolabeling pipeline for autonomous vehicles that generates Chain-of-Causation reasoning labels and meta-actions from raw driving clips.
robotics nvidia dataset self-driving-car autonomous-driving autonomous-vehicles reasoning data-annotation auto-labeling vision-language-model alpamayo physical-ai chain-of-causation meta-actions
Social Media Mining Toolkit (SMMT) main repository
🔥 One of the most comprehensive open-source data annotation platform.
data-science machine-learning big-data deep-learning annotation data-collection labelling computervision annotation-tool data-annotation
Tornado is an open source Human-in-the-loop machine learning tool. It helps you label your dataset on the fly while training your model through a simple web user interface. It supports all data types: structured, text and image.
python machine-learning natural-language-processing sklearn keras artificial-intelligence machinelearning machine-learning-api ruby-on-rails dataannotations active-learning automl data-annotation activelearning interactive-machine-learning active-learning-module human-in-the-loop-machine-learning data-annotation-machine-learning data-annotation-tools
🐼 Steer your LLMs and agents at the token level: A web tool for token visualization & control, model inspection, installation-free harness, and LLM & agent trajectory annotation.
data-annotation llm-ui agent-trajectory agent-evaluation token-visualization model-inspection token-level-correction agent-trajectory-annotation agent-trajectory-annotation-tool
Data-centric AI building blocks for computer vision applications
A system for prompted weak supervision. Alfred is a powerful tool that leverages large language models to accelerate data annotation.
data weak-supervision annotation-tool vlm data-annotation llm programmatic-weak-supervision prompting
PersianDataAnnotations is ASP.NET Core MVC & ASP.NET MVC Custom Localization DataAnnotations (Localized MVC Errors) for Persian(Farsi) language - فارسی سازی خطاهای اعتبارسنجی توکار ام.وی.سی. و کور.ام.وی.سی. برای نمایش اعتبار سنجی سمت کلاینت
mvc localization csharp aspnetcore nuget mvc5 persian iran asp-net-core asp-net net-mvc asp-net-core-mvc mvc6 dataannotations asp-net-mvc farsi data-annotations data-annotation localization-dataannotations localized-dataannotations
Visualization and Annotation Tool for ROS
visualization opengl ai robotics graphs plot undo-redo data-visualization artificial-intelligence ros plotting robot-operating-system rosbag physically-based-rendering data-annotation physically-based-shading order-independent-transparency
Lightweight self-hosted span annotation tool
visualization annotation annotations web-interface annotation-tool data-annotation token-classification llm word-classification span-labeling
A free and opensource yolov8, yolo11 and yolo26 all in one training tool that automates file structure and yaml files, auto labeling with SAM2, brush system for uninterupted labeling, a strong modular augmentation system where anybody can write their own filters and training. Without having to open terminal.
training open-source computer-vision image-annotation inference yolo object-detection opencv-python data-annotation labeling-tool dataset-management yolo-gui ultralytics yolov8 yolo11 yolov11 yolo26
Use Large Language Models like OpenAI's GPT-3.5 for data annotation and model enhancement. This framework combines human expertise with LLMs, employs Iterative Active Learning for continuous improvement, and integrates CleanLab (Confident Learning) to ensure high-quality datasets and better model performance
nlp gpt bert active-learning data-annotation fine-tuning dvc confident-learning noisy-labels mlflow cleanlab gpt-4 llm gpt-3-5-turbo
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