Advancing environmental monitoring: YOLO algorithm for real- time detection of greater one-horned rhinos

Object detection is a key challenge in computer vision, with applications that span security, surveillance, autonomous driving, and wildlife conservation. You Only Look Once (YOLO) has emerged as a state-of-the-art framework for real-time object detection, and its models are typically trained on standard datasets such as Common Objects in Context (COCO) and PASCAL Visual Object Classes (VOC), which often lack the diversity needed for real-world applications. Conservation efforts for endangered species, such as the Greater One-horned Rhino, require specialized solutions due to their ecological importance and vulnerability.