首页|University of Montpellier Researchers Report Research in Machine Learning (BYG-d rop: a tool for enhanced droplet detection in liquid-liquid systems through mach ine learning and synthetic imaging)
University of Montpellier Researchers Report Research in Machine Learning (BYG-d rop: a tool for enhanced droplet detection in liquid-liquid systems through mach ine learning and synthetic imaging)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on artificial in telligence have been published. According to newsreporting from Bagnols sur Cez e, France, by NewsRx journalists, research stated, “A new image processingmachi ne learning algorithm for droplet detection in liquid-liquid systems is here int roduced.”Our news journalists obtained a quote from the research from University of Montp ellier: “The methodcombines three key numerical tools-YOLOv5 for object detecti on, Blender for synthetic image generation,and CycleGAN for image texturing-and was named ‘BYG-Drop for Blender-YOLO-CycleGAn’ droplet detection.BYG-Drop outp erforms traditional image processing techniques in both accuracy and number ofd roplets detected in digital test cases. When applied to experimental images, it remains consistent withestablished techniques such as laser diffraction while o utperforming other image processing techniques indroplet detection accuracy. Th e use of synthetic images for training also provides advantages such astraining on a large labeled dataset, which prevents false detections. CycleGAN’s texturi ng also allows quickadaptation to different fluid systems, increasing the versa tility of image processing in drop size distributionmeasurement.”
University of MontpellierBagnols sur C ezeFranceEuropeCyborgsEmerging TechnologiesMachine Learning
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