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  2. Labelbox
  3. Alternatives
The best alternatives to Labelbox are EC 2, StackML, and Machine Learning Playground. If these 3 options don't work for you, we've listed a few more alternatives below.
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Best alternatives to Labelbox
  • Amazon Elastic Compute Cloud is a part of Amazon.com's cloud-computing platform, Amazon Web Services, that allows users to rent virtual computers on which to run their own computer applications.
  • StackML is a web-based visual tool to create & train custom deep learning models which can be downloaded in Core ML or Tensorflow format to integrate directly in apps, or used as an API.
  • A demo inspired by the Tensorflow playground, but a bit broader in depth and with more customization. Believe it or not, there was a period of time where not everything in Machine Learning was Deep Learning - and this site covers a good amount of traditional methods that are still quite relevant today. Feedback is welcome!
  • Run, deploy & scale state of the art machine learning tech
  • With onetask, you can label AI training data on large-scale yourself. We combine Weak Supervision and Active Learning, so that you can easily find patterns in your data and only label records by hand that need human cognition.
  • 📲 Collect, clean, manage, analyze and share data at any scale for sustainable data management in low-resource regions for free through Solstice.
  • Apple Inc. is an American multinational technology company headquartered in Cupertino, California, that designs, develops, and sells consumer electronics, computer software, and online services.