Nielsen Consumer LLC

Aitor Aller Beascoechea

Javier Tovar Velasco

Emilio Almazan

Jose Javier Yebes Torres

Roberto Arroyo

Dayron Rizo Rodriguez

Francisco Javier Delgado Del Hoyo

Ravindra Gadde

Methods, systems, articles of manufacture, and apparatus to recalibrate confidences for image classification are disclosed. An example apparatus to classify an image includes an image crop detector to detect a first image crop from the image, the first image crop corresponding to a first object, a grouping controller to select a second image crop corresponding to a second object at a location of the first object, a prediction generator to, in response to executing a trained model, determine a label corresponding to the first object and a confidence level associated with the label, and a confidence recalibrator to recalibrate the confidence level based on a probability of the first object having a first attribute based on the second object having a second attribute, the confidence level recalibrated to increase an accuracy of the image classification.

Methods, systems, articles of manufacture, and apparatus to recalibrate confidences for image classification

Methods, apparatus, and articles manufacture to decode documents based on images using artificial intelligence are disclosed. An example apparatus includes a model executor to input an image into a first artificial intelligence (AI)-based model to generate detected columns of text in the image; and input the image into a second AI-based model to classify the detected columns into categories; a cell identifier to identify rows or cells in the detected columns; and a report generator to: link information corresponding to the rows or cells in the detected columns with corresponding categories; and generating a report based on the linked information.

Methods and apparatus to decode documents based on images using artificial intelligence

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Madrid, Spain

Aitor Aller Beascoechea