Inc42 In-Depth is your daily 9 PM newsletter with sharp insights from India’s startup economy. Zoho bets on modular software and rural talent to make AI adoption faster, cheaper and inclusive. Fragmented data systems, lower adoption rates and ethical concerns hinder AI implementation in urban planning. We’ve experimented with a few of these tools like LabelImg & VGG’s VIA and have our fair share of joy and frustrations, so was curious to understand what your experiences were.
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- Globally, most companies outsource data labelling jobs to dedicated data annotators.
- This led us to build the Playment solution,” said Malasane speaking to Inc42.
- You can create new batches from the dashboard or by using the batch creation API.If batch_id is left empty or the key is not present, the job is created in the Default batch in your project.
- CabinetM helps modern marketing and sales teams manage the technology they have and find the tools they need.
The CabinetM marketing technology management platform enables full lifecycle support around technology discovery, qualification, implementation, and management. Marketing teams using CabinetM gain critical visibility and leverage to save time, money, drive revenue, and manage digital transformation. We are more than grateful to our customers who believed in us and continue to partner with us. Most importantly, we would not have made it this far without a few key employees who have completed four years or more with us and helped us build this high-yielding data labeling platform we have today. The pandemic took over in March, and India announced a 2-month lockdown. We devised quick and efficient contingency plans to ensure frictionless services for our customers.
Akshay Lal, Ajinkya Malasane, and I were featured in the Forbes 30 Under 30, Asia list in 2020 under the Enterprise Technology category. Since the inception of Playment, our mission has been to expedite the AI age by democratizing access to high-quality, diverse datasets. Receiving this recognition is a testament to our belief in the promise of AI in the upcoming years. They empower high precision annotation services with complex customizations.
Lidar(Light Detection and Ranging) which measures distances using sensors between objects by illuminating them using a pulsed laser. Its last funding was in 2017 when it raised $1.6 Mn as part of its seed funding led by YCombinator, Sparkland Capital and Silicon Valley angel investors such as Ryan Petersen, Max Altman and others. Playment was also part of YCombinator’s Winter 2017 batch and it was part of the Google launchpad accelerator. Earlier in 2016, Playment had raised $700K from Elevation Capital as part of its seed funding round. Playment has a large community of trained annotators who have work distributed among them in the form of micro-tasks, formally known as microwork(this kind of work breaks down a large unified project into small tasks) that is done by people all over the internet.
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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 gt studio playment 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.
We can all collectively agree that 2020 was an unexpected year for the world at large. And it is almost too easy to dwell on the negatives during such a large-scale crisis. But in retrospect, we cannot deny that this tumultuous year has helped us grow immensely. We took charge of the situation, consistently exceeded customer expectations, and used opportunities to stay true to our mission of expediting the AI age.
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.
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We shipped many cool features like one-click cuboids, default dimensions, ML proposals, etc. We also perfected interpolations and other new features for video and sensor fusion annotations. Our human annotators label faster by correcting near-perfect annotations created by our tools.
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- Playment was also part of YCombinator’s Winter 2017 batch and it was part of the Google launchpad accelerator.
- As a 2D/3D annotation tool and a platform to manage labelling teams of any size with team management software, all in one place, we wanted to communicate our distinguishing features through it.
- Akshay Lal, Ajinkya Malasane, and I were featured in the Forbes 30 Under 30, Asia list in 2020 under the Enterprise Technology category.
- And we are all aware that human labeling is a time-consuming process.
As labeling needs became more sporadic, timelines also started becoming shorter. And we are all aware that human labeling is a time-consuming process. That’s why we introduced ML automation features that reduce the time taken for labeling.
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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 mode.
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In 2020, we saw an increased rate of AI adoption by different governments worldwide and enterprises keen on automation. While we started out with a deep focus on autonomous driving use cases, this year we expanded with other industries like agriculture, real estate, mining, and defense among others. Currently, Playment services a host of international clients including Samsung, German automotive tools giant ZF, US-based self driving solution company Nuro and Daimler AG among others. “With TELUS in the driving seat we hope to reach a larger client base globally. We are also aggressively hiring for these opportunities,” says Malasane.
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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.
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