Welcome to our Blog!

I started working with Playment back in January 2017 with a vision to create a fantastic customer-centric organization. However, working for an early-stage startup is stressful; not only did I have to learn about complex product and features; I had to learn them while they were changing. Very often, the product that my team worked with looked entirely different weeks later.

The Playment survey on task difficulty suggests that Semantic segmentation is one of the difficult tasks for our annotators. This inspired us to automate the ground-truth annotation to reduce the workforce efforts and efficiently handle our resources.

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 kind of for detection and localization of specific objects in pixel-level.

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 shape variations of objects.

Back in 2013, Flipkart had started hiring in bulk from top undergrad colleges of the country. I was a part of 100 “graduate trainees” who together underwent a 2-week long induction program.

In 2017, we set out to make it faster and easier to gather training data with Playment. We gained 16 new team members, nearly doubling the team size to 40 folks. Nearly 300, 000+ qualified players joined the platform performing more than a million annotations for our customers every week.

We are excited to announce that Playment has recently raised $1.6M in pre-series A funding from Y-Combinator, Sparkland Capital, and angels such as Ryan Petersen, Max Altman, David Petersen and others. Existing investors SAIF Partners participated in this round as well to take the total funding to $2.2M till date.

Meet Deepak, our Software Developer. Working on building the world's biggest AI-HI platform isn't easy. Deepak is one of our stars, deeply committed to turning data into functional learning models, while ensuring that we are always scalable.

Siddharth nodded encouragingly while attacking a plate of rajma chawal. I was describing key learnings at my soon-to-be-previous-job at a major E-commerce firm. Next, Ajinkya, one of the co-founders of the company walked in from his game of squash, still in sweatpants. We proceeded to talk about the future of crowdsourcing, data mining and exciting applications of AI. At the end of this casual-seeming ‘interview’ they offered me the job. How did Project Manager at Playment sound? I considered accepting on the spot. A part of me wondered if I was out of my mind.