Use cases

Our unique image annotation solution for autonomous vehicles provides unmatched speed, scalability, and accuracy.
No limitations. No bottlenecks. Higher confidence scores.

Accuracy

Autonomous and self-driving vehicle developers require numerous labeled images and videos to train their ML models at the highest accuracy rates.

Quality

From street view images and video, to classifying and labeling objects and marking lanes, our innovative labeling tools and Machine Learning capabilities enable the highest quality annotations for ground truth data

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Scale

In addition, the unique combination of our API integration and elastic platform enables us to scale up and down on demand, with zero latency.

Frequently asked questions

Can our internal labelers work on the Tasq.ai platform for free?
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Can we review the quality of the annotations?
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Do I need to manage a workforce?
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  • Yair Adato, PhD.
  • CTO, Bria
"Tasq.ai's unique solution enabled us to collect dynamic judgments from a massive, diverse crowd in an extremely cost effective way, faster than any other solution we evaluated."
  • Tzvi Jacobs
  • Operations Manager, Agroscout
"We've worked with several companies on computer vision annotation tasks and we found the Tasq.ai team as the best in supporting us with vast knowledge and experience in the field."
  • Vlad Streltsin
  • Algorithm Engineer, Supersmart
"Tasq.ai is our solution of choice when it comes to complex data annotation. Its innovative micro-tasking workflow approach allowed us to set up a fully functional and highly customized tagging pipeline with minimal setup time and outstanding results."
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