Open-source alternatives to Refinery

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CVAT is an open-source, web-based platform designed for annotating images, videos, and 3D point clouds to create high-quality training datasets for machine learning. It functions as a containerized server that orchestrates the entire lifecycle of computer vision data, from initial task creation and manual labeling to quality assurance and final dataset export. The platform distinguishes itself through deep integration with machine learning models, allowing users to deploy custom AI models as serverless functions for automated object detection, tracking, and skeleton annotation. It supports co

potato: the portable annotation tool

We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.

Synthetic data generators for structured and unstructured text, featuring differentially private learning.

Web labeling tool for bitmap images and point clouds

Label Studio is a multi-modal data annotation platform designed to create and manage high-quality training datasets for machine learning. It functions as a self-hosted, containerized environment that supports secure, private deployments, including air-gapped configurations. The platform provides a centralized workspace for labeling diverse media types, such as images, text, audio, and time-series data, to support supervised and reinforcement learning workflows. The platform distinguishes itself through deep integration with machine learning backends, enabling active learning loops, automated

SpaCy annotator for Named Entity Recognition (NER) using ipywidgets. The annotator allows users to quickly assign (custom) labels to one or more entities in the text, including noisy-prelabelling!

A semantic annotation platform offering intelligent assistance and knowledge management. Homepage · Usage · Demo · FAQ

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

This is a tool for labeling text documents. Slate supports annotation at different scales (spans of characters, tokens, and lines, or a document) and of different types (free text, labels, and links). This covers a range of tasks, such as Part-of-Speech tagging, Named Entity Recognition, Text…

:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

Knodle (Knowledge-supervised Deep Learning Framework) - a new framework for weak supervision with neural networks. It provides a modularization for separating weak data annotations, powerful deep learning models, and methods for improving weakly supervised training.

bulk had a good run, but the way forward is to use reactive Python with proper widgets instead. For a full demo of what I recommend now, check this video.

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Curate, Annotate, and Manage Your Data in LightlyStudio.

skweak: A software toolkit for weak supervision applied to NLP tasks

ViPE: Video Pose Engine for Geometric 3D Perception

Scalable data pre processing and curation toolkit for LLMs

Minimalistic CLI labeling tool for text classification

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Smarter Manual Annotation for Resource-constrained collection of Training data

Markup is an online annotation tool that can be used to transform unstructured documents into structured formats for NLP and ML tasks, such as named-entity recognition. Markup learns as you annotate to predict and suggest complex annotations, and also provides integrated access to common and…

Synthetic data generation for tabular data

Snorkel is a weak supervision system that enables users to programmatically generate training labels for machine learning models without manual annotation. At its core, it provides a framework for writing labeling functions as Python callables that each vote on data points, and then trains a probabilistic graphical model over these multiple weak supervision sources to estimate latent true labels without any ground truth data. The system automatically learns accuracy and correlation parameters between labeling functions by analyzing observed agreement patterns on unlabeled data, converting lab