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  2. The original YOLO (You Only Look Once) was written by Joseph Redmon in a custom framework called Darknet. Darknet is a very flexible research framework written in low-level languages that has produced a series of the best real-time object detectors in computer vision: YOLO, YOLOv2, YOLOv3, YOLOv4, YOLOv5, YOLOV6, YOLOV7 and now YOLOV8.
    dataphoenix.info/a-guide-to-the-yolo-family-of-com…
    YOLOv10-N: Nano version for extremely resource-constrained environments. YOLOv10-S: Small version balancing speed and accuracy. YOLOv10-M: Medium version for general-purpose use. YOLOv10-B: Balanced version with increased width for higher accuracy. YOLOv10-L: Large version for higher accuracy at the cost of increased computational resources.
    docs.ultralytics.com/models/yolov10/
     
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  8. From YOLO to YOLOv8: Tracing the Evolution of …

    WEBMar 31, 2023 · What is YOLO? YOLO, or You Only Look Once, is an object detection model brought to us by Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi. Why does it matter? Because of the...

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  10. A Guide to the YOLO Family of Computer Vision …

    WEBFeb 12, 2023 · The basic YOLO model predicts images at 45 frames per second (FPS) on a Titan X GPU. The authors also developed a much lighter version of YOLO called Fast YOLO, which has fewer layers that …

  11. Introduction to the YOLO Family - PyImageSearch

    WEBApr 4, 2022 · YOLO (You Only Look Once) is a single-stage object detector introduced to achieve both goals (i.e., speed and accuracy). And today, we will give an introduction to the YOLO family by covering all the YOLO

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  16. Releases · ultralytics/yolov5 · GitHub

  17. What is YOLO? The Ultimate Guide [2024] - Roboflow Blog

  18. Models Supported by Ultralytics - Ultralytics YOLO Docs

  19. YOLOv9: Advancements in Real-time Object Detection (2024)

  20. Ultralytics/YOLOv8 · Hugging Face

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  25. ultralytics/ultralytics: NEW - YOLOv8 in PyTorch - GitHub

  26. Applied Sciences | Free Full-Text | PRE-YOLO: A Lightweight …