Handl

Label data for machine learning with ease

#2 Product of the DayApril 03, 2019
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Handl is a tool to label and manage data for machine learning. You can use the qualified crowd onboard or bring your team. Whatever you have, images, texts or sounds, we have a complete set of tools to do the job.
Reviews
  • Pros: 

    Seems like a great tool for image annotation, 25k users on board is an impressive metric, and the product is very straightforward

    Cons: 

    Curious about the difference between Handl, Alegion, and Clickworker's image annotation

    Any plans to open source any of it or make it embeddable into existing workflows? Would also love to learn more about any future plans pertaining to audio labeling

    Jay Jideliov has used this product for one day.
  • Alex Ivanov
    Alex IvanovLearning Designer @Team Canvas
    Pros: 

    Looks handy! Labelling as a service

    Cons: 

    None

    Curious how it differentiates from MTurk, Figure8, etc.

    Alex Ivanov has used this product for one day.
Discussion
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Dima Dewinn
Dima DewinnMaker@dimadewinn · Co-founder and CPO
Greetings Hunters, Dima from Handl here. I’m thrilled to introduce you to Handl, a tool to label and manage data for machine learning. On Handl, you will get your high-accuracy datasets with ease. We employ 25k qualified crowdworkers, who have labeled more than 6 million images, texts and sounds for tech companies and startups so far. Handl crowdworkers work remotely mostly from developing countries and get paid up to 3$/ho for their effort. If your labeling requires some special skills, you can invite your in-house team to do the job. We have a complete set of tools to cover data annotation needs: classes, bounding boxes, polygons, text input, and text segmentation, all easy to use and neat. Select and combine them the way you like. Above that, you can manage, share and safely store your datasets from here. Unlike 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. Our consensus algorithm ensures quality by assigning the same task to a number of crowdworkers, until the proper accuracy is reached. Try Handl here — https://handl.ai On the occasion of the launch, Hunters get free annotations of up to 1,000 images or texts with the “PRODUCTHUNT” code. Follow the link — https://handl.ai/form We are happy to get your feedback and answer any questions. Cheers.
Tony Urban
Tony Urban@tony_urban · CEO, DeckRobot
Yes, yes, yes!!! We'd definitely use it
Dima Dewinn
Dima DewinnMaker@dimadewinn · Co-founder and CPO
@tony_urban looking forward to it!
Aaron  O'Leary
Aaron O'Leary@aaronoleary · Community @producthunt. Chef.
Definitely going to try this out! Also I love the thumbnail!
Dima Dewinn
Dima DewinnMaker@dimadewinn · Co-founder and CPO
@aaronoleary pleasure to hear that!
Kate Khoshabova
Kate Khoshabova@ekaterina_khoshabova · Community Manager, Copywriter
Wish Golden Kitty for Handl's kitty! Meow! 🐾
Artem Gladkikh
Artem Gladkikh@g___a · Co-Founder & CEO at Test4startup
Great job guys!