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Yolo-V9 for Orange Disease Detection:Brain tumor detection using the YOLOv9 (You Only Look Once, version 9) model involves utilizing deep learning techniques for real-time detection and localization of tumors in medical images, particularly MRI scans. The YOLO series is known for its efficiency in object detection tasks, and in this context, YOLOv9

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Brain-tumor-detection

Yolo-V9 for Orange Disease Detection:

YOLO-V9 is a state-of-the-art object detection algorithm that has been widely used in various applications, including plant disease detection. Orange disease detection is a crucial task in citrus production, as early detection can significantly reduce crop loss and improve fruit quality. YOLO-V9's robust performance and real-time processing capabilities make it an attractive choice for detecting various orange diseases, such as citrus canker, greening, and melanose. Researchers have successfully utilized YOLO-V9 to detect these diseases using computer vision and deep learning techniques.

Brain tumor

glioblastoma multiforme (https://github.com/user-attachments/assets/f29bc32f-7ccc-4314-8aac-1937cf46f735)

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Yolo-V9 for Orange Disease Detection:Brain tumor detection using the YOLOv9 (You Only Look Once, version 9) model involves utilizing deep learning techniques for real-time detection and localization of tumors in medical images, particularly MRI scans. The YOLO series is known for its efficiency in object detection tasks, and in this context, YOLOv9

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