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

    • Ultralytics is a repository for YOLOv8, a state-of-the-art object detection and tracking model in PyTorch. It includes pretrained models, notebooks, datasets, and documentation for various tasks and modes.… See more

    Overview

    中文 | 한국어 | 日本語 | Русский | Deutsch | Français | Español | Português | हिन्दी | العربية
    Ultralytics … See more

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    Documentation

    See below for a quickstart installation and usage example, and see the YOLOv8 Docs for full documentation on training, validation, prediction and deployment.
    Install… See more

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    Models

    YOLOv8 Detect, Segment and Pose models pretrained on the COCO dataset are available here, as well as YOLOv8 Classify models pretrained on the ImageNet d… See more

    Github
    Integrations

    Our key integrations with leading AI platforms extend the functionality of Ultralytics' offerings, enhancing tasks like dataset labeling, training, visualization, and model man… See more

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    Ultralytics HUB

    Experience seamless AI with Ultralytics HUB ⭐, the all-in-one solution for data visualization, YOLOv5 and YOLOv8 🚀 model training and deployment, without any coding. Tra… See more

    Github
    Contribute

    We love your input! YOLOv5 and YOLOv8 would not be possible without help from our community. Please see our Contributing Guide to get started, and fill out our Survey to send us f… See more

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  2. Releases · ultralytics/yolov5 · GitHub

     
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    How to download Yolo V4?You can download the YOLO v4 using following command Yolo v4 Github You can build the YOLO v4 using Make and CMake command. In this tutorial, I have setup YOLO v4 in my PC with the following configuration.
    Where can I download yolov8 models?YOLOv8 Detect, Segment and Pose models pretrained on the COCO dataset are available here, as well as YOLOv8 Classify models pretrained on the ImageNet dataset. Track mode is available for all Detect, Segment and Pose models. All Models download automatically from the latest Ultralytics release on first use.
    How to install yolov5 in Python?Install yolov5 using pip (for Python >=3.7) Effortlessly explore and use finetuned YOLOv5 models with one line of code: awesome-yolov5-models You can call yolov5 train, yolov5 detect, yolov5 val and yolov5 export commands after installing the package via pip:
    What is Yolo model?It is a milestone model which solidified YOLO’s name and position in the computer vision field. It was released with the concept of BoF (bag of freebies) and BoS (bag of specials) techniques to enhance model performance. BoF: Techniques that enhance model accuracy without increasing the inference cost (computation or inference times).
  4. ultralytics/yolov5: YOLOv5 in PyTorch > ONNX - GitHub

  5. YOLO object detection with OpenCV - PyImageSearch

  6. YOLOv5 | PyTorch

  7. YOLO-V4: Easy installation and inferencing on an …

    WEBMay 13, 2020 · Compile and Configure. Compile the project after editing the Makefile and download the pre-trained weights of the YOLO-V4.!make &> compile.log. Download pre-trained weights:

  8. yolov5 · PyPI

  9. A Gentle Introduction to YOLO v4 for Object detection …

    WEBMay 1, 2020 · Learn the basics of object detection and YOLO, a fast and accurate deep learning-based method. Follow the steps to install and test YOLO v4 on Ubuntu 20.04 using images, videos and webcam.

  10. Yolov2 for Object detection from a video - Towards Data Science

  11. YOLOv4 Object Detection Tutorial with Image and …

    WEBJul 17, 2021 · Introduction. YOLOv4 Object Detection Tutorial. i) Setting up Google Colab. ii) Mount Personal Drive. iii) Cloning the Repository. iv) Build Darknet. v) Download Pre-trained YOLOv4 Model Weights. vi) Utility …

  12. YOLO: Real-Time Object Detection - pjreddie.com

  13. YOLOv8 - Ultralytics YOLOv8 Docs

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  15. COMPLETE: YOLO (You Only Live Once) – Season 1 Episode 1-13

  16. Video sample of using YOLO to detect objects - GitHub Pages

  17. Home - Ultralytics YOLOv8 Docs

  18. yolov3 | YOLOv3 in PyTorch > ONNX > CoreML > TFLite

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  22. ultralytics/yolov3: YOLOv3 in PyTorch > ONNX > CoreML - GitHub

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  24. YOLOv8 Yoga Pose Estimation and Classification - GitHub

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