Advancements and Projections in the Global Data Annotation and Labelling Market: Insights, Trends, Opportunities, and Recent Developments

Data annotation is the process of labelling images, video frames, audio, and text data that is mainly used in supervised machine learning to train the datasets that help a machine to understand the input and act accordingly. There are many types of annotations, some of them being – bounding boxes, polyline annotation, landmark annotation, semantic segmentation, polygon annotation, key points, 3D point cloud annotations, named entity recognition, etc.

With the advancements in deep learning algorithms, computer vision and NLP have greatly evolved and done wonders around the world of AI. Along with this AutoML has also grown. This has led many industries to adopt AI smoothly and make efficient use of it in various use cases.

There are many tools readily available for data annotation which can be utilised. Professional data annotators and labellers verify the annotations. Many of their platforms even offer end to end machine learning services from data loading, preprocessing, cleaning, data analysis/visualization, to deployment, production, and re-engineering. They also allow team coordination and management along with job assignments to each role.

In this article, I’ll be discussing these tools and at the end, there is a comprehensive table for guidance to services and solutions provided by each.

SuperAnnotate: AI-Powered Image and Video Annotation

SuperAnnotate is an AI-powered image and video annotation platform. It has a partnership with OpenCV for its desktop version.

Labelbox: Enterprise-Grade Data Training Platform

Labelbox is an enterprise-grade platform providing solutions for training data with AI-enabled labeling tools for both image and text data, enabling labeling automation, integrating the human workforce, and data management. Has accessibility to a powerful API, along with Python SDK for extensibility.

Playment: Building High-Quality Training Data for ML Teams

Playment helps ML teams build high-quality training data with ML-assisted tools, structured project management systems, expert human workforce, and much more. Provides solutions in image, video, and sensor annotation along with API integration to ML pipelines, and GT Studio.

Clarifai: Deep Learning Tools for AI Lifecycles

Clarifai is one of the leading data annotation platforms providing developers, data scientists, and enterprises with deep learning tools to build entire AI lifecycles for various products and use-cases.

Datasaur: AI-Based Text Annotation Platform

Datasaur is one of the best text annotation platforms providing AI-based solutions to extract, analyze, maintain, and modify text data.

Lightly: Self-Supervised Learning for Data Labeling

Lightly uses one of the eminent deep learning algorithms called self-supervised learning techniques to enhance data labeling. It can improve ML models with its tools for data preparation and curation for vision data.

Hive: Enterprise AI Solutions for Industry-Specific Use-Cases

Hive provides enterprise AI solutions for industry-specific use-cases. Used in both computer vision and NLP tasks. Hive believes in an AI-as-a service platform.

Lionbridge: Comprehensive Data Annotation and Labelling Services

Lionbridge deals with all kinds of data Image, Video, Audio, Text, and Geospatial data for providing annotation and labeling services. It is one of the oldest companies in the market.

V7 Darwin: State-of-the-Art Ground Truth Datasets

V7 labs had launched V& darwin platform for data annotation and data labeling purposes. Darwin makes use of deep learning algorithms to generate state-of-the-art high- quality ground truth datasets.

Amazon Sagemaker Ground Truth: Data Labelling for Amazon Sagemaker

AWS as we all know is a leading cloud service provider. Amazon Sagemaker Ground Truth is one of its products used for data labeling to generate ground truth datasets using the machine learning platform Amazon Sagemaker.

LightTag: Faster NLP Services

LightTag is another text annotation platform providing faster NLP services.

Kili Technology: Industry-Specific Annotation and Labelling

Kili technology covers all the multimedia data for annotation and labelling at industry-specific levels.

Dataturks: Image, Video, and Text Data Annotation

Dataturks is an AI startup later acquired by Walmart Labs. It helps developers and researchers in annotating an image, video, and text data.

TagTog: Self-Supervised Text Annotation

TagTog is another self-supervised text annotation tool.

LinkedAI: AI-Assisted Computer Vision and NLP Platform

LinkedAI is a no-code AI-assisted mostly for computer vision annotation platform but also offers NLP services.

Conclusion: Navigating the Data Annotation Landscape

The data annotation and labelling market is a rapidly evolving space, with new tools and technologies emerging regularly. This list provides a starting point for exploring the most popular and effective platforms available. By choosing the right tool or combination of tools, businesses and researchers can streamline their data annotation processes, build high-quality training datasets, and accelerate the development of powerful AI models.