Get insights into your computer vision model’s blind spots
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%.
🧑💻Hey Product Hunt,
I’m Erik, the R&D Lead at Manot.
Throughout my career in Computer Vision 💻👁️, I have trained various predictive and generative models, all of which require specific and thorough diagnostics and evaluation before being ready for production. Building these pipelines for every single task and model takes a lot of time and resources ⌛, and even doing all of this does not guarantee the same level of performance on your production data as there can be a significant gap between your test sets and the production data.
Manot is the remedy to these problems. We have created a solution that readily diagnoses classification, segmentation, and detection models without even requiring the model itself, using only a small set of its predictions, ground truths, and raw images. By analyzing the weaknesses of your models we are able to pinpoint scenarios where your model will fail both from your raw data pool, huge data lakes of our partners or even generate such cases by leveraging the state-of-the-art GenAI capabilities 🧠
Leave comments below and we can discuss! 🚀
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Erik
