Abstract: In variants, a method for individual heating element control can include: identifying food within a cook cavity of the cooking appliance, determining a set of cooking instructions associated with the food, the cooking instructions including a different model for each heating element subset, dynamically determining control instructions for each heating element subset based on the respective model, and controlling each heating element subset based on the respective control instructions.

Abstract: A connected oven, including a set of in-cavity sensors and a processor configured to automatically identify foodstuff within the cooking cavity, based on the sensor measurements; and automatically operate the heating element based on the foodstuff identity.

Abstract: A connected oven, including a set of in-cavity sensors and a processor configured to automatically identify foodstuff within the cooking cavity, based on the sensor measurements; and automatically operate the heating element based on the foodstuff identity.

Abstract: An imaging system for a high-heat cooking appliance, including a camera system including an optical sensor, a lens, and a set of light emitters; and a camera cooling mechanism thermally connected to the camera system.

Abstract: The method for classifying ambiguous objects, including: determining initial labels for an image set; determining N training sets from the initially-labelled image set; training M annotation models using the N training sets; determining secondary labels for each image of the image set using the M trained annotation models; and determining final labels for the image set based on the secondary labels. The method can optionally include training a runtime model using images from the image set labeled with the final labels; and optionally using the runtime model.

Abstract: The method for dirty camera detection including: detecting a first predetermined state change event; sampling a set of cavity measurements; optionally determining a set of features of the set of cavity measurements; determining a class label based on the cavity measurements; optionally verifying the classification; and facilitating use of the appliance based on the classification.

Abstract: In variants, an automatically-identifiable temperature probe can include: a probe body, one or more sensors, a connector, and/or any other suitable components. In variants, the method for temperature determination can include: determining a set of electrical signals, determining a temperature probe type based on the set of electrical signals, determining a sensor resolution model based on the temperature probe type, and determining a set of final temperature estimates based on the set of electrical signals and the sensor resolution model.

Abstract: The method for classifying ambiguous objects, including: determining initial labels for an image set; determining N training sets from the initially-labelled image set; training M annotation models using the N training sets; determining secondary labels for each image of the image set using the M trained annotation models; and determining final labels for the image set based on the secondary labels. The method can optionally include training a runtime model using images from the image set labeled with the final labels; and optionally using the runtime model.

Abstract: A method for operating a connected oven based on subjective user feedback, wherein the connected oven includes a set of in-cavity sensors configured to monitor the foodstuff throughout a cooking session; the method comprising: executing a cooking session according to an initial set of operation instructions to achieve a target food output condition; collecting subjective feedback values from the user for the resulting food output condition of the foodstuff after the cooking session; and updating the initial set of operation instructions based on the feedback values from the user.

Abstract: A connected oven, including a set of in-cavity sensors and a processor configured to automatically identify foodstuff within the cooking cavity, based on the sensor measurements; and automatically operate the heating element based on the foodstuff identity.

Abstract: A connected oven, including a set of in-cavity sensors and a processor configured to automatically identify foodstuff within the cooking cavity, based on the sensor measurements; and automatically operate the heating element based on the foodstuff identity.

Abstract: A connected oven, including a set of in-cavity sensors and a processor configured to automatically identify foodstuff within the cooking cavity, based on the sensor measurements; and automatically operate the heating element based on the foodstuff identity.

Abstract: A connected oven, including a set of in-cavity sensors and a processor configured to automatically identify foodstuff within the cooking cavity, based on the sensor measurements; and automatically operate the heating element based on the foodstuff identity.

Abstract: A connected oven, including a set of in-cavity sensors and a processor configured to automatically identify foodstuff within the cooking cavity, based on the sensor measurements; and automatically operate the heating element based on the foodstuff identity.

Abstract: A connected oven, including a set of in-cavity sensors and a processor configured to automatically identify foodstuff within the cooking cavity, based on the sensor measurements; and automatically operate the heating element based on the foodstuff identity.

Abstract: An imaging system for a high-heat cooking appliance, including a camera system including an optical sensor, a lens, and a set of light emitters; and a camera cooling mechanism thermally connected to the camera system.