Manot is an advanced insight management platform specifically designed to enhance the performance of computer vision models. It serves as a crucial tool for data scientists and machine learning engineers, providing deep insights into the operational effectiveness of these models. Manot’s primary function is to identify the precise points of failure within computer vision models, elucidating where, how, and why these failures occur. This granular level of analysis is pivotal for refining and optimizing models to ensure they perform more accurately and efficiently. One of the standout features of Manot is its ability to significantly accelerate the model refinement and redeployment processes. Typically, fine-tuning and redeploying computer vision models can be a time-consuming endeavor, often involving extensive trial and error.