Thanks @roman_tezikov. Unlike Amazon’s MTurk and similar microtasking services, Handl stands for machine learning data labeling only. This allows us to acquire, train and qualify our crowd to perform labeling at the highest accuracy level on the market. And we have a different internal workflow for data annotation — crowdworkers don't choose what tasks to perform. They just work properly and get paid based on the time spent and their accuracy reached.
@_klen thanks! We guarantee data security as we never show the whole data to a single worker. For example, when labeling IDs, we divide them into several fields so that one worker does not see the whole document. Later on, we put the fields together inside the client's contour.
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I like the product. Great job, guys! Do you work with videos or just images & sounds?
@anya_pozniak yes, we do. Usually we cut them in frames and label the resulted images. If you need to classify actions on videos, you can upload them in video clips.
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Looks interesting. What is the difference between you and Figure8?
@ravil_zaripov our pricing is much more accessible and its structure is different - we charge by hours instead of labeled data points. We go through all the husle with setting up the task and coming up with proper instructions in multiple languages for labelers by ourselves, and can provide assistance on machine learning-related projects beyond data annotation.
Thanks @mikhail_larionov! Pricing for our tools starts from $399/mo. Crowd workforce is charged separately, pricing depends on complexity of your annotation tasks. Learn more here — https://handl.ai/#howitworks
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Cool video and nicely-done product. But who is your target audience?
@alex_pustov We work closely with machine learning teams from technology companies and startups helping them to deal with data preparation of any kind.
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Do you have API channels for ongoing data flows? And if so, how do you charge for that.
Norm Model B Desk
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Norm Model B Desk
Norm Model B Desk
Norm Model B Desk
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Handl
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