Systems and methods for identifying and segmenting objects from images
AssigneeAncestry.com Operations Inc.
InventorsMasaki Stanley Fujimoto, Yen-Yun Yu
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AssigneeAncestry.com Operations Inc.
InventorsMasaki Stanley Fujimoto, Yen-Yun Yu
Estimating the term…
Systems and methods for identifying and segmenting objects from images include a preprocessing module configured to adjust a size of a source image; a region-proposal module configured to propose one or more regions of interest in the size-adjusted source image; and a prediction module configured to predict a classification, bounding box coordinates, and mask. Such systems and methods may utilize end-to-end training of the modules using adversarial loss, facilitating the use of a small training set, and can be configured to process historical documents, such as large images comprising text. The preprocessing module within said systems and methods can utilize a conventional image scaler in tandem with a custom image scaler to provide a resized image suitable for GPU processing, and the region-proposal module can utilize a region-proposal network from a single-stage detection model in tandem with a two-stage detection model paradigm to capture substantially all particles in an image.
A system for identifying and segmenting objects from images, the system comprising:
A computer-implemented method comprising:
A non-transitory computer readable medium storing instructions which, when executed by at least one processor, cause the at least one processor to:
Dependencies are inferred from the claim text.