One-stop Data Labeling Platform

Playment is your turnkey solution to train and validate computer vision models.

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Annotation of City
Annotation of Farm
Annotation of City Objects such as Cars, Trees, etc.
Annotation of Trucks
Annotation of Farm
Annotation of City Objects such as Cars, Trees, etc.
Annotation of Trucks
Annotation of Farm
Annotation of City Objects such as Cars, Trees, etc.
Annotation of Trucks
Annotation of Players in Football field
Annotation of things in industry scene.
Annotation at Retail Center
Annotation of Players in Football field
Annotation of things in industry scene.
Annotation at Retail Center
Annotation of Players in Football field
Annotation of things in industry scene.
Annotation at Retail Center
Annotation of Drone
Annotation of Drone

Annotations we support

We're trusted by

Playment was an outstanding partner for Ever AI. Their skilled staff was able to quickly and accurately tag 100s of thousands of photos for us which greatly improved the accuracy of our face detection and recognition models. Their project managers asked excellent clarifying questions which resulted in a superior project result.
Charles E. Rice
CTO, Ever AI
Playment's fully managed approach has been critical in factoring the variability and scaling up our annotation requirements. Thanks to their tools and skilled workforce, we are extremely satisfied by the quality and turnaround time they have provided. I would highly recommend Playment.
Shmoolik Mangan
Algorithm Development Manager, Vayavision

Annotation Tools

Playment’s annotation tools are well designed for delivering high quality labeled dataset at benchmarking speed. AI assistance, Superior design and Configurability makes our tools smarter.

Superior Design

Playment's web and mobile annotation tools are designed with higher order UX design principles to help annotators discover the most complex of the objects faster and with ease.

AI Assistance

We continously develop models to automatically annotate commonly known classes and use human in the loop to perform annotations scale with guaranteed quality.

Configurability

Our tools support data formats from various sensors. They are architected to facilitate fast feature deployment for custom data management.

Missing Pedestrian
Label Incorrect
Incorrect Geometry
Incorrect Geometry
1 / 42
Incorrect Label
1 / 42
Missing Objects
1
Recall Score
93.02 %
Precision Score
95.23 %

Status
Sent for rework

Assured Quality

High quality of annotations is the primary reason for customers to choose Playment. Definition, Process Excellence and Transparency are the pillars of our accuracy promise.

Missing Pedestrian
Label Incorrect
Incorrect Geometry
Incorrect Geometry
1 / 42
Incorrect Label
1 / 42
Missing Objects
1
Recall Score
93.02 %
Precision Score
95.23 %

Status
Sent for rework

Definition

We work closely with our customers to frame well defined quality metrics in terms of precision and recall for their projects. We sign contracts for guaranteed quality and abide by them or you get your money back.

Process Excellence

Playment's proprietary QA modules is a combination of human response consensus models and AI models to predict and reduce human errors.

Transparency

Customers are provided with an access to our QA tools to calculate accuracy metrics quantitatively and qualitatively with fully transparency.

Fully Managed Solution

Playment caters to the whole of data annotation function and provides a complete hasssle free approach with the help of project consulting, dedicated project management and tech support.

Developer APIs

We have robust API support which will help you to integrate your data workflows with Playment's platform with minimal development effort and long term scalability.

Dedicated Project Management

We orchestrate your project end-to-end. Right from task workflow setup, selecting relevant annotator group to annotation of tasks.

Full Tech Support

We work with customers to build specific tool modifications and data workflows to handle all their customized use-cases.

Process Consulting

With years of deep and extensive knowledge of managing data operations with global enteprises we help customers setup and execute labelling operations with great process excellance.

Profound expertise with diverse datasets

Explore Datasets →

Autoscaling Workforce

Playment supports millions of annotations with its enormous highly skilled annotation workforce. We provide you with a choice between managed crowdsourcing and our captive workforce for their projects. Quality is guaranteed at scale by all means in any of the modes!

Captive Workforce

For annotation projects with stringent security requirements, Playment deploys a workforce of annotators who sign up with higher degree of security.

Managed Crowdsourcing

With a managed community of 300,000 well trained workers, Playment caters swiftly to peaks and troughs of annotation needs.

1,000+ Captive Annotators
  • Yogesh Joshi
    Since October 2017
    Annotations Made
    840,000
    Tools Knowledge
    • LiDAR
    • Semantic Segmentation
    • Video Annotation
    • Polygons
    • Polylines
300,000+ Annotators
  • Deepak
    Since November 2017
    Annotations Made
    320,000
    Tools Knowledge
    • LiDAR
    • Video Annotation
    • Bounding Boxes
    • Polygons
  • Aveek Mondal
    Since January 2017
    Annotations Made
    500,000
    Tools Knowledge
    • LiDAR
    • Semantic Segmentation
    • Polygons
  • Nupur Das
    Since February 2017
    Annotations Made
    520,000
    Tools Knowledge
    • LiDAR
    • Bounding Boxes
    • Polygons
    • Polylines

How It Works?

Project Setup

Our data labeling platform enables project manager to train real people annotate your data and to make sure your models are being trained on high-quality data.

Raw Dataset

Send us dataset and task guidelines. We support API, .CSV, FTP, cloud etc. to source data and setup tasks.

Project Setup

Our data labeling platform enables project manager to train real people annotate your data and to make sure your models are being trained on high-quality data.

Human in the Loop

The semi-automatic labeling process involves combination of deep learning models, hueristics and manual human edits to create high quality annotation at scale.

Rigorous QC

We execute multi-level automated and manual quality checks over each and every annotation. Machine checks to eliminate random or systematic errors combined with human consensus models ensures highly accurate output.

Export Results

Collect all the ground truth dataset you need to train your model.

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