Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for training a universal sensor model based on a combined dataset provided by sensor devices of a common device class. Once trained, the universal sensor model may be deployed for providing recommendations based on for performing object detection on datasets received from different types of sensor devices of the common device class. Embodiments include determining whether to generate the combined dataset from different datasets from sensor devices of the common device class and determining when the sensor model will perform better using the combined dataset from sensor device rather than a single dataset from a single sensor device. In some embodiments, the datasets are image datasets comprising image data provided by the sensor devices.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for training a universal sensor model based on a combined dataset provided by sensor devices of a common device class. Once trained, the universal sensor model may be deployed for providing recommendations based on performing object detection on datasets received from different types of sensor devices of the common device class. Embodiments include determining whether to generate the combined dataset from different datasets from sensor devices of the common device class and determining when the sensor model will perform better using the combined dataset from sensor device rather than a single dataset from a single sensor device. In some embodiments, the datasets are image datasets comprising image data provided by the sensor devices.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for training a universal sensor model based on a combined dataset provided by sensor devices of a common device class. Once trained, the universal sensor model may be deployed for providing recommendations based on performing object detection on datasets received from different types of sensor devices of the common device class. Embodiments include determining whether to generate the combined dataset from different datasets from sensor devices of the common device class and determining when the sensor model will perform better using the combined dataset from sensor device rather than a single dataset from a single sensor device. In some embodiments, the datasets are image datasets comprising image data provided by the sensor devices.