An insight management platform for computer vision model performance. Manot pinpoints where, how, and why computer vision models fail. It accelerates model refinement and redeployment processes by 10x, boosts accuracy by 20%, and reduces costs by 32%.
Hi @chinarmovsisyan and team, it’s exciting to see Manot on Product Hunt available for the community to use and benefit from it. I have seen the company’s journey from the very early days and I am amazed by their dedication and growth during this time. Wish you good luck and lots of insights from today!
@liana_karapetyan7 Thank you for the kind words and huge support throughout our journey <3!
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Kudos to @chinarmovsisyan and the team for pushing the boundaries and delivering a solution that not only meets but exceeds expectations. Looking forward to seeing the ripple effect this will have on the field of computer vision 🚀✨
@mashagrigoryan_ Thank you so much! Appriciate the feedback and support!
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Kudos on the launch!
Curious to know, how does Manot adapt to different types of computer vision models? Is it equally effective for, say, object detection as it is for facial recognition?
@suzaneandersoon thank you for the kind words and question! Our solution is model invariant. We have done several benchmarks and the results are pretty impressive! Happy to learn more about your use case and discuss how we can help!
A huge shout-out @chinarmovsisyan for launching Manot. It looks like a great way to uncover any unseen problems or mistakes when it comes to computer vision models. Kudos to your hard work and dedication!
@german_merlo1 Thank you for the kind words! Indeed, computer vision model evaluation is a huge challenge at every scale of any company.
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I believe Manot will prove to be highly beneficial in companies driven by product development, especially considering the frequent conflicts I've observed between product managers and data scientists due to a lack of appropriate tools for managing insights.
@armen_fljyan1 Totally! It's indeed a persistent challenge, especially as we continue to expand the scope of computer vision applications. We are optimistic that the data-driven approach we've adopted will enhance efficiency on both ends of the spectrum.
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