How to: Data Annotation and Synthesis
* [Argilla](https://github.com/argilla-io/argilla) ![](https://img.shields.io/github/stars/argilla-io/argilla.svg?cacheSeconds=86400) - Argilla helps domain experts and data teams to build better NLP datasets in less time.
* [cleanlab](https://github.com/cleanlab/cleanlab) ![](https://img.shields.io/github/stars/cleanlab/cleanlab.svg?cacheSeconds=86400) - Python library for data-centric AI. Can automatically: find mislabeled data, detect outliers, estimate consensus + annotator-quality for multi-annotator datasets, suggest which data is best to (re)label next.
* [COCO Annotator](https://github.com/jsbroks/coco-annotator) ![](https://img.shields.io/github/stars/jsbroks/coco-annotator.svg?cacheSeconds=86400) - Web-based image segmentation tool for object detection, localization and keypoints
* [CVAT](https://github.com/cvat-ai/cvat) ![](https://img.shields.io/github/stars/cvat-ai/cvat.svg?cacheSeconds=86400) - CVAT (Computer Vision Annotation Tool) is OpenCV's web-based annotation tool for both videos and images for computer algorithms.
* [Doccano](https://github.com/doccano/doccano) ![](https://img.shields.io/github/stars/doccano/doccano.svg?cacheSeconds=86400) - Open source text annotation tools for humans, providing functionality for sentiment analysis, named entity recognition, and machine translation.
* [Gretel Synthetics](https://github.com/gretelai/gretel-synthetics) ![](https://img.shields.io/github/stars/gretelai/gretel-synthetics.svg?cacheSeconds=86400) - Gretel Synthetics is a synthetic data generators for structured and unstructured text, featuring differentially private learning.
* [Label Studio](https://github.com/HumanSignal/label-studio) ![](https://img.shields.io/github/stars/HumanSignal/label-studio.svg?cacheSeconds=86400) - Multi-domain data labeling and annotation tool with standardized output format.
* [NeMo Curator](https://github.com/NVIDIA/NeMo-Curator) ![](https://img.shields.io/github/stars/NVIDIA/NeMo-Curator.svg?cacheSeconds=86400) - NeMo Curator is a GPU-accelerated framework for efficient large language model data curation.
* [refinery](https://github.com/code-kern-ai/refinery) ![](https://img.shields.io/github/stars/code-kern-ai/refinery.svg?cacheSeconds=86400) - The data scientist's open-source choice to scale, assess and maintain natural language data.
* [SDV](https://github.com/sdv-dev/SDV) ![](https://img.shields.io/github/stars/sdv-dev/SDV.svg?cacheSeconds=86400) - Synthetic Data Vault (SDV) is a Synthetic Data Generation ecosystem of libraries that allows users to easily learn single-table, multi-table and timeseries datasets to later on generate new Synthetic Data that has the same format and statistical properties as the original dataset.
* [Semantic Segmentation Editor](https://github.com/Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor) ![](https://img.shields.io/github/stars/Hitachi-Automotive-And-Industry-Lab/semantic-segmentation-editor.svg?cacheSeconds=86400) - Hitachi's Open source tool for labelling camera and LIDAR data.
* [synthcity](https://github.com/vanderschaarlab/synthcity) ![](https://img.shields.io/github/stars/vanderschaarlab/synthcity.svg?cacheSeconds=86400) - synthcity is a library for generating and evaluating synthetic tabular data.
* [ViPE](https://github.com/nv-tlabs/vipe) ![](https://img.shields.io/github/stars/nv-tlabs/vipe.svg?cacheSeconds=86400) - ViPE is a spatial AI tool for annotating camera poses and dense depth maps from raw videos.
* [YData Synthetic](https://github.com/ydataai/ydata-synthetic) ![](https://img.shields.io/github/stars/ydataai/ydata-synthetic.svg?cacheSeconds=86400) - YData Synthetic is a package to generate synthetic tabular and time-series data leveraging the state of the art generative models.