Playment

Accelerate dataset labeling, customize process, label complex datasets quickly and accurately.

Free plan available
No credit card

What is Playment?

Playment is a data labeling platform designed to help teams prepare training datasets for machine learning models. It provides tools for annotating images, text, audio, and video with human or AI-assisted labeling, allowing you to create high-quality datasets at scale. The platform is built by Telus International and focuses on speed and accuracy, with customisable workflows to match your specific labeling requirements. It's useful for organisations training computer vision models, natural language processing systems, or other AI applications that require large amounts of annotated data.

Key features

Multi-format annotation

label images, text, audio, and video data within a single platform

Customisable labeling workflows

configure tasks and instructions to match your specific annotation needs

AI-assisted labeling

use machine learning suggestions to speed up the annotation process

Quality control tools

implement review stages and consensus mechanisms to ensure label accuracy

Scalable workforce

access to Telus International's global labeling workforce or manage your own team

Integration support

connect to your existing ML pipelines and data storage systems

Pros & cons

Advantages

Handles complex datasets across multiple data types without needing separate tools
Customisable processes mean you can adapt the platform to your specific project requirements
Access to professional labeling workforce reduces time spent on annotation
Built-in quality assurance mechanisms help maintain accuracy at scale

Limitations

Using the managed workforce service can become expensive for very large datasets
Pricing and feature details for the free tier are not clearly publicised, limiting transparency