Skip to main content

Top 10 Data Labeling Platforms for Training Data

  • Author:
  • Updated date:
Data labeling is an important part of machine learning.

Data labeling is an important part of machine learning.

Using AI to Label and Customize Data

In this post, we'll look at some of the most well-liked and often-used tools for labeling and annotating data for artificial intelligence and machine learning applications.

These platforms provide features for generating and managing customized data sets together with tools for classifying, tagging, and annotating data. Some platforms also provide a platform for crowdsourcing data labeling jobs to a worldwide network of qualified professionals.

Therefore, this post is for all data scientists, machine learning engineers, and other interested parties. Let's explore the top data labeling platforms available today.

1. Labelbox

Labelbox is an AI data platform that provides an iterative workflow approach for precise data labeling and the creation of optimized datasets. More accurate and trustworthy datasets that can be utilized to train models for machine learning can be produced with its assistance.

Additionally, several capabilities are provided by Labelbox, including AI-assisted data labeling, team collaboration, and automated training data labeling. Developers can simply integrate the platform with their existing applications using the API that Labelbox offers.

2. CloudFactory

A training data platform called CloudFactory enables teams to swiftly produce and annotate high-level training data for AI and machine learning applications. You can manage and keep track of the labeling process with the help of the tools it provides for labeling, annotating, and categorizing data. Additionally, it incorporates a platform for crowdsourcing data labeling tasks to an extensive network of qualified workers and offers tools to assist you in validating and verifying the labeled data.

3. Labellerr

Labellerr is a data automation tool that helps data science teams to simplify the manual mechanisms involved in the AI-ML product lifecycle. We are highly skilled at providing training data for a variety of use cases with various domain authorities.

Labellerr provides a wholly on-premise solution for businesses operating without an internet connection.

With Labellerr, you can upload data using the UI, CLI, or Python SDK to its encrypted storage. Versioning, model deployment, and model training are all possible with the uploaded data. Through Labellerr's secured storage, only the data or models made therein are the sole property of their inventor.

4. Appen

Appen is a platform for AI training data that focuses on labeling and labeling data for artificial intelligence and machine learning applications. You can manage and keep track of the process with the help of the tools they provide for labeling, annotating, and classifying data.

In addition, Appen provides a platform for assigning data labeling jobs to a worldwide network of qualified people. They also offer features for developing and utilizing custom data sets as well as tools to assist you in confirming and validating the labeled data.

5. Figure Eight

Figure Eight is a machine learning platform that converts the text, image, audio, as well as video data into specialized, top-notch training data. It is utilized in a variety of applications, such as speech recognition, computer vision, and natural language processing. You may manage and keep track of the labeling process using the tools provided in Figure Eight for labeling, annotating, and classifying data.

They also provide a platform for crowdsourcing data labeling jobs to an international network of qualified professionals. Additionally, they offer features for developing and utilizing custom data sets as well as tools to assist you in confirming and validating the labeled data.

6. Dataloop

A data platform named Dataloop is used by AI systems with vision. You can manage and keep track of the labeling process with the help of the tools it offers for labeling, annotating, and categorizing data. Furthermore, Dataloop provides a platform for assigning data labeling jobs to a worldwide network of qualified people. Additionally, they offer features for developing and utilizing custom data sets as well as tools to assist you in confirming and validating the labeled data.

7. DataWalk

DataWalk is a platform for labeled data-based artificial intelligence and machine learning system training. You can manage and keep track of the labeling process with the help of the tools it offers for labeling, annotating, and categorizing data.

Furthermore, DataWalk provides a platform for assigning data labeling jobs to a worldwide network of qualified people. Additionally, they offer features for developing and utilizing custom data sets as well as tools to assist you in confirming and validating the labeled data.

8. SuperAnnotate

SuperAnnotate is a machine learning platform that performs data annotation and classification for computer vision and artificial intelligence (AI) applications. You can manage and keep track of the labeling process with the help of the tools it offers for labeling, annotating, and categorizing data.

SuperAnnotate also provides a platform for crowdsourcing data labeling jobs to a worldwide network of qualified professionals. Additionally, they offer features for developing and utilizing custom data sets as well as tools to assist you in confirming and validating the labeled data.

9. Amazon SageMaker Ground Truth

With the help of Amazon SageMaker Ground Truth, developers can quickly and precisely label big datasets so that they may be used to train machine learning algorithms. You can manage and keep track of the labeling process with the help of the tools it offers for labeling, annotating, and categorizing data.

Amazon SageMaker Ground Truth further provides a platform for crowdsourcing data labeling jobs to a worldwide network of qualified people. Additionally, they offer features for developing and utilizing custom data sets as well as tools to assist you in confirming and validating the labeled data.

10. Scale AI

Scale AI offers a variety of tools and services to assist businesses in developing, controlling, and deploying AI systems at scale. You can manage and keep track of the labeling process with the help of the tools it offers for labeling, annotating, and categorizing data.

Scale AI also provides a platform for crowdsourcing data labeling jobs to a vast network of qualified workers. Additionally, they offer features for developing and utilizing custom data sets as well as tools to assist you in confirming and validating the labeled data.

Conclusion

In conclusion, several systems are accessible that offer different features and capabilities when it comes to labeling and labeling data for training machine-learning models.

Some platforms can help you efficiently and precisely label massive datasets so you can utilize them to train machine learning models, depending on your needs. The optimal labeling platform for you will ultimately depend on your unique needs and requirements.

This article is accurate and true to the best of the author’s knowledge. Content is for informational or entertainment purposes only and does not substitute for personal counsel or professional advice in business, financial, legal, or technical matters.

© 2023 Ritika