3D Cuboids
Build ground truth datasets for 3D perception from 2D images and videos.
- Support for wide range of classes
- Relative perception estimation to the ego car
- Add Occlusion/Truncation in special cases
We support diverse use-cases
Given the raw data, we recognize depth of objects by annotating 3D cuboid on the objects of interest.
Camera based perception in autonomous vehicles
Used to train computer vision models for spatial cognition from 2D images or videos. Relative distance of each mobile object from the ego car and vanishing point can be measured.
In-doors spatial distribution of objects
Used to build 3D simulated worlds from 2D information captured by cameras.
Built for Enterprise
Proprietary Quality Assurance
Multi-level quality checks
- Annotator reputation engine.
- Maker-checker and consensus models.
- Automatic checks to catch systemic errors.
- Critical manual checks with statistical sampling.
Creative training of annotators
Multi-level quality checks
- Annotator reputation engine.
- Maker-checker and consensus models.
- Automatic checks to catch systemic errors.
- Critical manual checks with statistical sampling.
Verification tools for customers' QC teams
End-to-end Tech Support
Our engineers work so hard to fulfill all your custom requirements. Starting from supporting various sensor data formats to building complex annotation tools. We also set up unique data sharing modes so that you can focus on building and optimizing ML models.
Why choose Playment
With rigour quality checks, free repetition allowance, high-quality ground truth annotation and end-to-end project management we're confident you'll love us.
Guaranteed Quality
Definition, Process Excellence and Transparency are the three pillars of our accuracy promise.
Fully Managed Solution
Full suite of annotation tools with the help of project consulting, dedicated project management and tech support.
Competitive Cost
Playment uses machine learning models to perform semi-automatic labeling at a fraction of the cost of manual labeling.
Trusted by
We were very impressed with Playment’s ability to grasp complex requirements and quickly build custom tools to support it. Jitesh(Engagement Manager) was very helpful with sharing his domain expertise to formulate the solution.
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.
Playment's quality annotations helped us focus our efforts towards building perception system for our robots. Their flexibility to seamlessly incorporate our feedback and evolving requirements have made them a trusted partner.
Quality annotations by Playment have helped us to achieve higher accuracy of our models in a very short time. Flexible solutions, QA process and dedicated project manager helped us to have a good peace of mind. Annotation work was off-loaded in the true sense.