Abstract: Methods and apparatus to improve driver-assistance vision systems using object detection based on motion vectors are disclosed. An example apparatus includes a motion vector object detection analyzer to generate a motion vector boundary box around an object represented in a first image, the motion vector boundary box generated based on a comparison of the first image relative to a second image. The example apparatus also includes a boundary box analyzer to: determine whether the motion vector boundary box corresponds to any artificial intelligence (AI)-based boundary box generated based on an analysis of the first image using an object detection machine learning model; and, in response to the motion vector boundary box not corresponding to any AI-based boundary box associated with the first image, associate a label with the motion vector boundary, the label to indicate the object detection machine learning model did not recognize the object in the first image.