5 illustrates a process for determining gaze, according to at least one embodiment įIG. 4A and 4B illustrate portions of an example process for determining position of an object, according to at least one embodiment įIG. ![]() ![]() 3 illustrates placement of fiducial markers for regions of interest, according to at least one embodiment įIGS. 2 illustrates vehicle and camera coordinate systems that can be bridged, according to at least one embodiment įIG. 1A, 1B, 1C, and 1D illustrate views of a vehicle environment, according to at least one embodiment įIG. Various embodiments in accordance with the present disclosure will be described with reference to the drawings, in which:įIGS. Creating this training data can be a long and complicated process, which may be too expensive for various uses and may result in an insufficient amount of training data. In order to train machine learning models to perform object identification, however, conventional approaches require a significant amount of labeled training data, where supervised training data includes ground truth data. ![]() Machine learning has been used as a tool for detecting objects in image data for purposes of such analysis. Advances in computer technology have resulted in improved capabilities in object identification and analysis.
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