Abstract: A document transcription application receives an image of a document that comprises structured data. The document transcription application performs optical character recognition upon the image of the document to produce a block of text. The document transcription application applies the block of text to a first machine learning model to determine a heat map for a class of data in the structured data in the image of the document. The document transcription application applies the image of the document and the heat map to a second machine learning model to identify a region of the image of the document representing the class of data. The document transcription application generates, using the identified region and the block of text, a structured data file.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that automatically select an image from a plurality of images based on the multi-context aware rating of the image. In particular, systems described herein can generate a plurality of probability context scores for an image. Moreover, the disclosed systems can generate a plurality of context-specific scores for an image. Utilizing each of the probability context scores and each of the corresponding context-specific scores for an image, the disclosed systems can generate a multi-context aware rating for the image. Thereafter, the disclosed systems can select an image from the plurality of images with the highest multi-context aware rating for delivery to the user. The disclosed system can utilize one or more neural networks to both generate the probability context scores for an image and to generate the context-specific scores for an image.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that automatically select an image from a plurality of images based on the multi-context aware rating of the image. In particular, systems described herein can generate a plurality of probability context scores for an image. Moreover, the disclosed systems can generate a plurality of context-specific scores for an image. Utilizing each of the probability context scores and each of the corresponding context-specific scores for an image, the disclosed systems can generate a multi-context aware rating for the image. Thereafter, the disclosed systems can select an image from the plurality of images with the highest multi-context aware rating for delivery to the user. The disclosed system can utilize one or more neural networks to both generate the probability context scores for an image and to generate the context-specific scores for an image.

Abstract: A sorting and pulping device for kitchen waste includes a case (3). A screen cylinder is located within the case (3). A plurality of sieve pores are provided at a cylinder wall of the screen cylinder. A rotation shaft is located at an axle center of the screen cylinder, a bottom of the rotation shaft nears a bottom wall of the screen cylinder, and a top of the rotation shaft passes through a top of the screen cylinder and is linked with a driving device (5) located outside the case (3). Under an action of the driving device (5), the rotation shaft is driven to rotate. A plurality of blades, which are located with each other in parallel, are spirally distributed on the rotation shaft from top to bottom. Every blade inclines upwardly. A material feeding inlet (4) is located on a side wall of the case (3).

Abstract: A device for harmless treatment of poultry includes: a feeder, a crusher, a chemical manufacturing device, a solid-liquid separating equipment, a dryer, an oil-water separating equipment and a water treatment device. The device for harmless treatment of poultry of the present invention accomplishes harmless treatment of poultries in a real sense. By repeatedly experiments and improvements in recent years, the device of the present invention has various advantages of automated treatment, non-polluting treatment process, environmental protection and harmless treatment results, and recyclable and high utilization products.