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    YOLOv8 is the latest family of YOLO-based object detection models that provides state-of-the-art performance. The architecture of YOLOv8 builds upon the previous versions of YOLO algorithms. It utilizes a convolutional neural network that can be divided into two main parts: the backbone and the head. A modified version of the CSPDarknet53 architecture forms the backbone of YOLOv8. The architecture works by resizing the input image into 448x448 before going through the convolutional network. YOLOv8 employs state-of-the-art backbone and neck architectures, resulting in improved feature extraction and object detection performance.
    learnopencv.com+3
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    YOLOv8 Ultralytics: State-of-the-Art YOLO Models - LearnOpenCV
    YOLOv8 is the latest family of YOLO based Object Detection models from Ultralytics providing state-of-the-art performance. Leveraging the previous YOLO versions, the YOLOv8 model i…
    LearnOpenCV
    https://learnopencv.com/ultralytics-yolov8/
    Understanding YOLOv8 Architecture, Applications & Features - Labellerr
    The architecture of YOLOv8 builds upon the previous versions of YOLO algorithms. YOLOv8 utilizes a convolutional neural network that can be divided into two main parts: the backbon…
    Labellerr
    https://www.labellerr.com/blog/understanding-yolov8-architecture-applications-features/
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    YOLO Object Detection Explained: A Beginner's Guide | DataCamp
    The architecture works as follows: Resizes the input image into 448x448 before going through the convolutional network. A 1x1 convolution is first applied to reduce the number of c…
    DataCamp
    https://www.datacamp.com/blog/yolo-object-detection-explained
    YOLOv8 - Ultralytics YOLOv8 Docs
    Advanced Backbone and Neck Architectures: YOLOv8 employs state-of-the-art backbone and neck architectures, resulting in improved feature extraction and object detection performance…
    Ultralytics
    https://docs.ultralytics.com/models/yolov8/
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    labellerr.com
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    ultralytics.com

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