SYSTEMS AND METHODS FOR TRAINING EVENT PREDICTION MODELS FOR CAMERA-BASED WARNING SYSTEMS

In some implementations, a device may receive image data and sensor data associated with the image data. The image data may depict a series of scenes that are captured over a time period and that are associated with an occurrence of an event. The device may determine a time of interest, within the time period, at which a value of the sensor data satisfies one or more criteria. The device may extract a portion of the image data based on the time of interest. The device may extract, from the portion of the image data, a slice of image data depicting a first set of scenes and a slice of image data depicting a second set of scenes. The device may train, based on the slices of image data, a model to predict a probability of an occurrence of an event.