This year, we spent more than a few late nights developing a product that makes data labeling more accessible to ML teams. As more and more companies were going remote, we saw the need for a high-performing web-based labeling platform. A low-code platform that anyone anywhere can use to label datasets and manage 100s of labeling pipelines seamlessly. We also gave early access to a few of our customers and teams interested in exploring a data labeling platform that’s perfect for remote setups. Our beta customers have more than 350+ full time labelers working on GT Studio. Playment was launched in November 2015 by former Flipkart employees- IIT-Kharagpur alumni Siddharth Mall and Akshay Lal, along with IIT-Guwahati alumnus Ajinkya Malasane.
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- The CabinetM marketing technology management platform enables full lifecycle support around technology discovery, qualification, implementation, and management.
- We also found new ways to connect and collaborate with teammates virtually as we adjusted to the new remote working setups.
- It was in the process of looking out for partners and investors in the business that Playment founders engaged with TELUS leading to the eventual acquisition.
- Thriving in the new normal came with its own challenges, yet, we were well-prepared to go remote because of our web-based labeling platform and pre-established collaboration and communication protocols.
In the initial years, Playment used to work with crowd-sourced data annotators who would do the labelling work. This demand for data annotation solutions also helped the company become profitable in 2020. The global data annotation tools market size was estimated at $321.45 Mn in 2020, according to a report by Expert Market Research.
Data Annotation is not only limited to image and video but now with recent advances in computer vision, it is extended to sensors even. After creating the job, please store the job_id received in the response. None of this would have been possible without the people working behind the scenes. From taking pay cuts during the pandemic to giving more than 100% effort for all our projects, we could not have asked for a better team. From fun sing-off sessions to virtual heists and group competitions, our time working from home was not-so-dull. All credits go to our excellent HR Manager, Sahiba Chandok, who has created an inclusive and fun work culture at Playment.
Bringing GT Studio to the world -Playment’s 4 year old powerful, web-based data labeling platform for ML teams.
- We can all collectively agree that 2020 was an unexpected year for the world at large.
- To make this feasible, Playment technology divided the big chunk of work into small micro-tasks like lego blocks and qualified users on its platform solve the entire puzzle.
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- This dashboard allows us to set up and monitor customized workflows and build an end to end project management with playment workforce.
We divert their time to improve the quality of our deliverables with various QC tools and processes. We took forward two designs and discussed the pros and cons of each. CabinetM helps modern marketing and sales teams manage the technology they have and find the tools they need.
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Lidar sensors available in the new iPhones have also bolstered the adoption rates. Playment will continue to build cutting-edge tools for lidar sensors in the upcoming year. We have built a new website with first-of-its-kind information to give our community a peek into what really goes behind building data labeling infrastructures that produce high-quality training and ground truth data. In India it competes with data annotation companies like iMerit and Infolks.
We also found new ways to connect and collaborate with teammates virtually as we adjusted to the new remote working setups. Bengaluru-based data annotation startup Playment has been acquired by Vancouver-based digital consultancy TELUS International for an undisclosed amount, the company said in a statement today. Many of us must be aware of image and video annotation techniques(if not you can go through these articles- on SuperAnnotate and LabelBox) such as bounding boxes, pixel-level accuracy, polygons, and many more such tools which have now enhanced the state-of-art.
For instance, sellers often bulk upload apparel catalogues on ecommerce platforms. A person on the ecommerce platform has to inspect each and every item submitted before it is published to ensure that the products are labelled in a way that buyers can find easily. Playment simplified it allowing products to be identified by machine learning. The startup, 70% of whose clients are automakers, helps the self learning software of its clients identify objects.
Nuro, Zoox, and Lyft have already made announcements, and we are sure there is more to come. Adopting computer vision for camera surveillance of COVID-19 patients and increasing investments in AI-led research for vaccines in the healthcare sector has opened up many new opportunities for data labeling. We are excited to see the increased pace of CV adoption in several sectors.
Guide To Playment – A Leading Data Labeling Platform for Image, Video and Sensors
Project progress and quality analytics with active feedback are also provided keyboard shortcuts, visualization tools and confusion metrics. Since the future of work is remote, there is an increasing demand for web-based annotation tools compared to offline tools. Managing 1000s of annotators every day requires an analytics-led approach in the remote set up. The focused ML efforts of 2020 will fuel the emergence of self-driving cars as early as 2021.
We leveraged ML to make data labeling easier, faster & scalable.
The different tools available are 2D Bounding boxes, Semantic Segmentation, Cuboids, Polygons, Polylines, Landmarks. Today we will be talking about Playment, a data annotator tool which allows all of this possible with workflow management. In the Batches section of a project, You can find the batch_id in the batch information tooltip. We didn’t want the illustration to be overpowering as the main aim of the page was signing up. We tried several background colors and illustration dimensions. Login or create a free account to continue reading in private gt studio playment mode.
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It offers software solutions to build high-quality visual data labels- a process known as data annotation. The startup works with more than 200 machine learning teams across global companies. Playment’s GT Studio offers ML-assisted 2D and 3D labeling tools.
Our platform also provides robust productivity analytics that can be very useful in remote setups. The global launch of GT Studio will further democratize the access to high-performing labeling tools for ML teams worldwide. In the autonomous driving industry, lidar companies like Innoviz, Luminar, Velodyne, and Ouster have IPO-ed.
LEARNINGS AND REFLECTIONS
The data annotation tool market is projected to record a CAGR of 27% between 2021 and 2026. The market growth is largely attributed to the increased adoption of software for image data annotation in the automotive, retail, and healthcare sectors. While artificial intelligence drives a lot of solutions globally, little is understood about how it works. Playment particularly deals with AI and machine learning software of the visual kind. Suppose an automobile manufacturer wants to build self-driven cars.