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3 easy steps to get started
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Install Manot and perform the initial setup to prepare for its usage.
Configure and prepare the data you will be using with Manot for analysis and processing.
Start getting valuable insights from your data by detecting outliers and edge cases
Manot helps improve model performance by detecting and diagnosing errors in real-time, identifying edge cases and hidden bias, and providing insights for refining the model.
Computer vision models are algorithms or neural networks designed to analyze and interpret visual data, such as images and videos, and can be used for a variety of applications, such as surveillance, facial recognition, and autonomous vehicles.
Manot provides insights and alerts about detected errors, performance issues, hidden bias, and edge cases. It provides suggestions for model improvement as well as real-time alerts for immediate action.
The benefits of using Manot include 15x faster model deployment, 26% increase in accuracy and 35% decrease in costs. Ultimately, Manot helps you have a safe and reliable compute vision model that continuously adapts to the changing conditions of the real-world environment.
Manot prioritizes privacy and data security by implementing security measures and employing best practices in privacy to safeguard sensitive information.
Various industries and use cases can benefit from using Manot, including but not limited to autonomous vehicles, retail, security surveillance, and more.
Yes, Manot offers a free version that users can sign up for and explore its features and capabilities in more detail.
Let’s talk about how we can do the same for you.
