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YOLOv4 - Ultralytics YOLO Docs
Learn about YOLOv4, a real-time object detection model launched in 2020 by Alexey Bochkovskiy. Find out its architecture, features, performance, and usage e…
- YOLOv4 stands for You Only Look Once version 4. It is a real-time object detection model developed to address the limitations of previous YOLO versions like YOLOv3and other object d…
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ultralytics/ultralytics: NEW - YOLOv8 in PyTorch - GitHub
YOLOv8 may be used directly in the Command Line Interface (CLI) with a yolo command: yolo predict model=yolov8n.pt source= 'https://ultralytics.com/images/bus.jpg'. yolo can be used for …
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YOLOv5 | PyTorch
YOLOv5 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection, instance segmentation and image classification tasks. We …
Releases · ultralytics/yolov3 · GitHub
Nov 14, 2021 · This release is a major update to the https://github.com/ultralytics/yolov3 repository that brings forward-compatibility with YOLOv5, and incorporates numerous bug …
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AILab-CVC/YOLO-World - GitHub
Jan 31, 2024 · YOLO-World supports zero-shot inference, and three types of fine-tuning recipes: (1) normal fine-tuning, (2) prompt tuning, and (3) reparameterized fine-tuning. Normal Fine …
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Introduction to the YOLO Family - PyImageSearch
Apr 4, 2022 · Learn about the history and evolution of the YOLO object detection family, from YOLOv1 to YOLOX. Compare the features, performance, and challenges of each variant and …
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YOLO v8 Model Guide - Real-Time Object Detection Model …
Discover the revolutionary YOLO (You Only Look Once) model: an efficient and accurate real-time object detection system used in computer vision. Learn how it transforms image …
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