Abstract: Systems and methods for model evaluation and enhanced user interface for analyzing machine learning models. An example method includes obtaining information associated with a machine learning (ML) model, wherein the ML model is associated with autonomous or semi-autonomous operation of a vehicle; obtaining validation data, wherein the validation data includes one or more video sequences obtained from image sensors of an end-user vehicle; obtaining output via computing forward pass-through ML model using validation data, wherein the output indicates, at least, location information associated with objects detected via the ML model in the validation data; determining values associated with metrics based on the obtained output; and generating user interface information based on one or more of the determined values or obtained output.