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AssigneeSchneider Electric USA, Inc.
InventorsAymane ABDALI, Bartosz BOGUSLAWSKI, Vincent GRIPON, Lucas DRUMETZ
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Systems/methods provide more efficient training of ML models used to classify objects within images and videos. The systems/methods provide an augmented training dataset that crops each image and retains a portion of the image context. The image cropping may be done by manually, semi-manually, or automatically identifying a location or coordinates of an object within an image, then cropping a predefined area around the image. The cropping may be performed once for each image, or multiple crops may be performed for each image, each cropping involving a different predefined area around the image depending on the method used to identify the coordinates of the object within the image. The resulting augmented set of images is then used to train, or further train, the ML models. Such an arrangement provides ML models that have improved object disambiguation and greater classification accuracy, and are especially useful in applications involving transfer learning.
A system for performing image classification using a machine learning (ML) based model, the system comprising:
A method of performing image classification using a machine learning (ML) based model, the method comprising:
A non-transitory computer-readable medium storing computer-readable instructions thereon, the computer-readable instructions comprising:
Dependencies are inferred from the claim text.