Walmart Apollo, LLC

Anirban Chatterjee

Rajesh Shreedhar Bhat

Pranay Dugar

Saswata Sahoo

Bodhisattwa Prasad Majumder

Gayatri Pal

Lalitdutt Parsai

Sumanth S Prabhu

Kunal Banerjee

Vignesh Selvaraj

Saptarshi Misra

Systems and methods for enhancing text in images based on super-resolution are disclosed. A low resolution image is generated based on a high resolution image. A super resolution image is generated based on the low resolution image, using a super resolution model with a set of parameters. Based on the high resolution image and the super resolution image, a total loss function is computed based on: the set of parameters, a detection loss function, a recognition loss function, and a gradient loss function of the high resolution image and the super resolution image. A trained super resolution model is generated with an optimized set of the parameters that minimizes the total loss function. Text in at least one image is enhanced using the trained super resolution model.

System and method for enhancing text in images based on super-resolution

Segmentation first breaks the images into segments or regions, with the segments of the region having text or symbols. The segmented image is separately applied to two different CNN-based models. Each model produces text boxes where potential text might exist. Then, a selective NMS algorithm is applied to the output of each model to produce a final group of text regions. These text regions are analyzed and actions are taken.

System and method for textual analysis of images

The system and method described herein provide for a machine-learning model to automate determination of product attributes for a product based on images associated with the product. The product attributes can be used in online commerce to facilitate product selection by a customer. In accordance with this disclosure, the product attributes may be determined using machine-learning technology by processing images associated with the product (including product packaging). The machine-learning technology is trained using product-related vocabulary and potential attributes that can be discovered by analyzing the images associated with the product.

Automated extraction of product attributes from images

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District-Howrah, India

Anirban Chatterjee