Software Alternatives & Reviews

Top Video Annotation Tools Compared 2022

Recommended and mentioned products

  1. Innotescus: verb, 1. We make known. Enabling better data, faster annotation, and deeper insights through innovative computer vision solutions.

    Try for free paid Free Trial $400.0 / Monthly ("Basic", "2 supervisors", "5 annotators", "128GB")

  2. Enterprise grade data platform for AI systems in development and in production.

  3. Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.

    Ask HN: Who is hiring? (December 2022) about 2 months ago:

    Https:// We're automating humanity’s most important visual tasks from early cancer screening, to alzheimer's research, to giving sight to autonomous robots. Dealroom's most promising breakout company of 2022, Forbes top 20 ML startup of 2021. Just raise a $33m Series A and backed by AI heavyweights, including the creators of Keras, Elixir and leaders at DeepMindaand OpenAI. This month we're hiring for: -...
  4. Get human tasks done with just one line of code.

    Hack website jumped the shark - 100 strong against this... about 8 days ago doesn't even work. Now my phone is covered in cracks and barbecue sauce.
  5. The fastest annotation platform and services for training AI.

    data-labeling tools comparison about over 1 year ago:

    Ok, so I tried comparing 4 of the better data annotation tools like,, and . I tried them all as thoroughly as I could and I probably missed some things so apologies in advance for that! Let me know what I missed in the comment. Btw, I'm Amir and I've worked most of my data-labeling career at
  6. Build computer vision products for the real world


    Ask HN: Who is hiring? (October 2022) about 4 months ago:

    Labelbox | Remote | Frontend / WebGL, Backend, Engineering Managers | Labelbox is building the training data platform to power breakthroughs in machine learning. We provide an end to end solutions for the full AI lifecycle from creating catalogs of unstructured data all the way to building the tools for humans to label the data to teach machines. Why choose us?