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Hi Guys, I am Ajinkya (AJ) co-founder Playment. We started Playment as mTurk is highly unreliable in terms of data output quality or reliability. We focus on t

Hi Guys, I am Ajinkya (AJ) co-founder Playment. We started Playment as mTurk is highly unreliable in terms of data output quality or reliability. We focus on the standardisation of work across workers. In a nutshell we provide enterprise grade SLAs. We deploy algorithms to generate high quality crowdsourcing output rather just grading the workers. Building a mobile workforce makes us faster than any other existing mTurk like solution. It's an fully managed platform where the task requester needn't worry about the task design or worker selection or deciding worker incentives. Everything is managed by the platform itself. Just share the requirements and data and we do it all. The use cases that Playment target are cataloging for e-commerce, training data for AI (text classification, transcription, bounding boxes and image annotation). We have written a whole piece on Playment vs. mTurk - https://playment.io/playment-vs-mechanical-turk https://playment.io/playment-vs-mechanical-turk Would appreciate more comments and remarks. Hope you find this useful.

sarthakjain 10y ago
Looks promising. AI still has time to go before it can automate complex tasks. Also training models requires a lot of data, labelled training data is a huge bottleneck. Are there any other use cases you have planned for AI training data?
- siddharthmall05 10y ago
  Sid, Cofounder @ Playment here. Algorithms are only as good as the data that trains them. Besides having basic product features such as building bounding boxes on the images, identifying objects from images, context based text classification etc, we could also support multi step complex workflow. For example, for self driving cars, from a given image we could first find out if there are pedestrians present or not, then # of such pedestrians, then build boxes around it and finally tag them as males and females. To make it even more simple for our customers, we take over the complete ownership of building such complex workflows and ensuring quality.
  - mshubham1009 10y ago
    Are you guys fixed on some specific usecases or trying to take care of almost all kinds of workflows?
    - siddharthmall05 10y ago
      Workflows have been built in such a way that it could handle multiple action on a single input. For example, we currently help a leading e-commerce based in India to do quality check o f the listings that are uploaded before they go live. The workflow involves more than 10 checks (image is blurry or not, background is white or not, description matches images, attribute check and so on) to be done on >3 images/product. All of this is handles by 1 workflow and output is given in few minutes. Our platform can currently support services like image tagging, transcription, text tagging and bounding boxes. And workflows could be built using combination of these services. At the end of the day, we have more than 100,000 skilled workers. We would love to hear more about various use cases that people would need definitely need humans for. :)

sarthakjain 10y ago

Looks promising. AI still has time to go before it can automate complex tasks. Also training models requires a lot of data, labelled training data is a huge bottleneck. Are there any other use cases you have planned for AI training data?

siddharthmall05 10y ago
Sid, Cofounder @ Playment here. Algorithms are only as good as the data that trains them. Besides having basic product features such as building bounding boxes on the images, identifying objects from images, context based text classification etc, we could also support multi step complex workflow. For example, for self driving cars, from a given image we could first find out if there are pedestrians present or not, then # of such pedestrians, then build boxes around it and finally tag them as males and females. To make it even more simple for our customers, we take over the complete ownership of building such complex workflows and ensuring quality.
- mshubham1009 10y ago
  Are you guys fixed on some specific usecases or trying to take care of almost all kinds of workflows?
  - siddharthmall05 10y ago
    Workflows have been built in such a way that it could handle multiple action on a single input. For example, we currently help a leading e-commerce based in India to do quality check o f the listings that are uploaded before they go live. The workflow involves more than 10 checks (image is blurry or not, background is white or not, description matches images, attribute check and so on) to be done on >3 images/product. All of this is handles by 1 workflow and output is given in few minutes. Our platform can currently support services like image tagging, transcription, text tagging and bounding boxes. And workflows could be built using combination of these services. At the end of the day, we have more than 100,000 skilled workers. We would love to hear more about various use cases that people would need definitely need humans for. :)