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Playment allows companies to send over sets of training data that need some kind of light analysis, and then divvies it up across a large on-demand workforce that can resolve those tasks on their mobile devices. That, in turn, feeds back additional data to the companies to help refine their algorithms.
Playment users can do a lot of the testing and actions on their mobile devices. So it could be as simple as making small quality checks while they’re commuting or drawing bounding boxes for visual recognition, giving the option of doing these kinds of tasks anywhere. So users can do as many or as few tasks as they’re looking for.
Companies pass the data off to Playment through a set of APIs, and then Playment creates a workflow for its workforce. Then those workflows are passed off to their workforce, and users can pick up whatever tasks they want that are available.

HQBengaluru, IN

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Employees (est.) (Jun 2020)87(-2%)
Cybersecurity ratingBMore

Playment Office Locations

Playment has an office in Bengaluru
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Playment Financials and Metrics

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Founding Date


Playment total Funding

$870 k

Playment latest funding size

$120 k

Time since last funding

3 years ago

Playment investors

Playment's latest funding round in February 2017 was reported to be $120 k. In total, Playment has raised $870 k
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Playment Cybersecurity Score

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Playment Online and Social Media Presence

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Playment News and Updates

Ouster Partners with Playment and Scale.AI for Advanced Deep Learning Labeling

SAN FRANCISCO, Dec. 3, 2018 /PRNewswire/ -- Ouster, a leading manufacturer of high-resolution lidar sensors, today announced a partnership with leading data labeling companies Playment and Scale.AI to rapidly accelerate the implementation of deep learning models in self-driving vehicles...

Playment raises $1.6 million to improve AI training through crowdsourced data tagging

EXCLUSIVE: While the tech community is busy trying to automate everything it can through AI-powered bots and machines, Playment relies on human intelligence to provide training data for computer vision and machine learning. The Bangalore, India-based startup announced today that it has raised $1.6 m…

Playment Blogs

Semantic Segmentation: Wiki, Applications and Resources

In recent years, machine learning technology centered on deep learning (deep learning) has attracted attention. Self driving cars have inculcated deep learning processes that requires the algorithm to identify and learn from the images fed as raw data. Let’s look at how the need for semantic segment…

What is deep learning(deep neural network)? A beginner’s guide

Deep learning is a type of machine learning that mimics the neuron of the neural networks present in the human brain. Computer Vision Deep learning models are trained on a set of images a.k.a training data, to solve a task. These deep learning models are mainly used in the field of Computer Vision w…

Bounding Boxes for Object Detection & Classification

2D Bounding Boxes is perhaps the most ubiquitous annotation type one might encouter in computer vision. As the name suggests, the annotator is asked to draw a box over the objects of interest based on the requirements of the client. Apart from object classification and localization models that could…

Semantic Segmentation labeling for Autonomous Vehicles

The Semantic Segmentation or Pixel-level labeling is used to label each and every pixel in the image. Unlike polygonal segmentation devised specifically to detect a defined object of interest, full semantic segmentation provides a complete understanding of every pixel of the scene in the image. This…

Improve Facial Recognition using Semantic Segmentation & Landmark Annotation

Landmark Annotation to recognize Facial attributes Firms in the security and surveillance sector which build facial recognition models require high-quality landmark annotations across a variety of classes. Dot annotation (a.k.a Landmark annotation) and semantic segmentation is used to determine shap…

Framework to Evaluate a Data Labeling partner for Machine Learning

There are many challenges in building AI that works in the real-world scenarios. One of those is the quality of the data that is needed to train your model. Being in the AV industry, in order to stay at the top, machine learning models need to be trained on representative datasets that include all t…
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Playment Frequently Asked Questions

  • When was Playment founded?

    Playment was founded in 2015.

  • How many employees does Playment have?

    Playment has 87 employees.

  • Who are Playment competitors?

    Competitors of Playment include Masterstaff, Rota and MyWorkChoice.

  • Where are Playment offices?

    Playment has an office in Bengaluru.

  • How many offices does Playment have?

    Playment has 1 office.