Automated Feline Recognition: Object Detection for Smart Feeder Integration using YOLO11
As part of the CAS Deep Learning curriculum, this project explores the practical application of high-end computer vision in a domestic environment. The primary objective was the development of a robust object detection model based on the YOLO11 architecture to uniquely identify three specific subjects: Tigi, R.E.D., and Milou. The long-term goal is the integration […]
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