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1. github.com › ultralytics › yolov5ultralytics/yolov5: YOLOv5 in PyTorch > ONNX - GitHub

   github.com › ultralytics › yolov5

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   YOLOv5 🚀 is the world's most loved vision AI, representing Ultralytics open-source research into future vision AI methods, incorporating lessons learned and best practices evolved over thousands of hours of research and development.

2. github.com › ultralytics › yolov5Releases · ultralytics/yolov5 · GitHub

   github.com › ultralytics › yolov5

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   v7.0 - YOLOv5 SOTA Realtime Instance Segmentation. Our new YOLOv5 v7.0 instance segmentation models are the fastest and most accurate in the world, beating all current SOTA benchmarks. We've made them super simple to train, validate and deploy.

3. pytorch.org › hub › ultralytics_yolov5YOLOv5 | PyTorch

   pytorch.org › hub › ultralytics_yolov5

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   Ultralytics YOLOv5 🚀 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility.

4. machinelearningknowledge.ai › introduction-to-yolov5-object-detection-with-tutorialIntroduction to YOLOv5 Object Detection with Tutorial

   machinelearningknowledge.ai › introduction-to-yolov5-object-detection-with-tutorial

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   Jun 21, 2021 · In this article, we will go through the tutorial of YOLOv5 for object detection which is supposed to be the latest model of the YOLO family. We will understand what is YOLOv5 and do a high-level comparison between YOLOv4 vs YOLOv5. Finally, we will show you how to use YOLOv5 for object detection on various images and videos.

5. towardsdatascience.com › the-practical-guide-for-object-detection-with-yolov5The practical guide for Object Detection with YOLOv5 algorithm

   towardsdatascience.com › the-practical-guide-for-object-detection-with-yolov5

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   Mar 14, 2022 · Detailed tutorial explaining how to efficiently train the object detection algorithm YOLOv5 on your own custom dataset.

6. docs.ultralytics.com › models › yolov5YOLOv5 - Ultralytics YOLO Docs

   docs.ultralytics.com › models › yolov5

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   Nov 12, 2023 · YOLOv5 Overview. YOLOv5u represents an advancement in object detection methodologies. Originating from the foundational architecture of the YOLOv5 model developed by Ultralytics, YOLOv5u integrates the anchor-free, objectness-free split head, a feature previously introduced in the YOLOv8 models.

7. docs.ultralytics.com › yolov5 › quickstart_tutorialQuickstart - Ultralytics YOLO Docs

   docs.ultralytics.com › yolov5 › quickstart_tutorial

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   Nov 12, 2023 · Kickstart your real-time object detection journey with YOLOv5! This guide covers installation, inference, and training to help you master YOLOv5 quickly.

8. docs.ultralytics.com › yolov5 › tutorialsArchitecture Summary - Ultralytics YOLO Docs

   docs.ultralytics.com › yolov5 › tutorials

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   Nov 12, 2023 · Ultralytics YOLOv5 Architecture. YOLOv5 (v6.0/6.1) is a powerful object detection algorithm developed by Ultralytics. This article dives deep into the YOLOv5 architecture, data augmentation strategies, training methodologies, and loss computation techniques.

9. github.com › ultralytics › yolov5Home · ultralytics/yolov5 Wiki · GitHub

   github.com › ultralytics › yolov5

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   Welcome to the Ultralytics YOLOv5 🚀 wiki! Here you'll find useful tutorials, environments, and the current repo status. Please visit https://docs.ultralytics.com also for full YOLOv5 documentation.

10. colab.research.google.com › github › ultralyticsYOLOv5 Tutorial - Colab - Google Colab

    colab.research.google.com › github › ultralytics

    This YOLOv5 🚀 notebook by Ultralytics presents simple train, validate and predict examples to help start your AI adventure. We hope that the resources in this notebook will help you get the most...