Image-based barcode decoding

A non-transitory computer-readable medium storing instruction that, when executed by a processor, cause the processor to perform operations comprising:

• receiving, from a camera, an image depicting a machine-readable label, wherein the machine-readable label represents an item identifier for an item comprising a sequence of values encoded in portions of the machine-readable label, wherein each portion corresponds to a encoding of a value of the sequence of values of the item identifier;
• generating a sequence representation of the item identifier for the item by applying a machine-readable label prediction model to the image of the machine-readable label, wherein the sequence representation represents a prediction of the sequence of values, wherein the sequence representation represents one or more probabilistic predictions of the sequence of values encoded in the portions of the machine-readable label, and wherein the machine-readable label prediction model is a machine-learning model stored on the computer-readable medium and trained to generate sequence representations of item identifiers for machine-readable labels in images;
• and
• decoding the item identifier represented in the machine-readable label from the sequence representation of the item identifier generated by the machine-readable label prediction model.

A method comprising:

• receiving, from a camera, an image depicting a machine-readable label, wherein the machine-readable label represents an item identifier for an item comprising a sequence of values encoded in portions of the machine-readable label, wherein each portion corresponds to a encoding of a value of the sequence of values of the item identifier;
• generating a sequence representation of the item identifier for the item by applying a machine-readable label prediction model to the image of the machine-readable label, wherein the sequence representation represents a prediction of the sequence of values, wherein the sequence representation represents one or more probabilistic predictions of the sequence of values encoded in the portions of the machine-readable label, and wherein the machine-readable label prediction model is a machine-learning model and trained to generate sequence representations of item identifiers for machine-readable labels in images;
• and
• decoding the item identifier represented in the machine-readable label from the sequence representation of the item identifier generated by the machine-readable label prediction model.