Bildklassifizierung auf Beschneidungsbasis

Details

Veröffentlichungs-Nr.

EP4787330

Anmeldetag

29. Januar 2026

Veröffentlichung

5. August 2026

Rechtsraum

EP

Abstract

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.

Anmelder

Firma

Schneider Electric USA, Inc.

Land

🇺🇸 USA