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所在平台: Udemy |
课程主页: https://www.udemy.com/course/yolo11-custom-object-detection-web-apps-in-python-2024/
课程评论：没有评论
课程名称：YOLO11 & YOLOv12：Python中的目标检测与网络应用 2025 课程概述：YOLO11和YOLOv12是最新的尖端计算机视觉模型架构，在速度和准确性上超过了之前的版本。基于早期YOLO模型的进展，YOLO11和YOLOv12引入了显著的架构和训练增强，使其成为多种计算机视觉任务的多功能工具。这些模型支持广泛的应用，包括目标检测、实例分割、图像分类、姿态估计和定向目标检测（OBB）。 在这门课程中，您将学习： - Ultralytics YOLO11的新特性。 - 如何使用Ultralytics YOLO11进行目标检测、实例分割、姿态估计和图像分类。 - 在Windows/Linux上运行目标检测、实例分割、姿态估计和图像分类。 - 评估YOLO11模型性能：测试和分析。 - 在Google Colab上训练YOLO11目标检测模型，以检测个人防护装备（PPE）的自定义数据集，提供分步指导。 - 在Windows/Linux上对自定义数据集进行YOLO11目标检测的分步指南。 - 在自定义数据集上训练YOLO11实例分割，以检测坑洞。 - 微调YOLO11姿态估计以进行人类活动识别。 - 微调YOLO11图像分类以进行植物分类。 - 采用Bot-SORT和ByteTrack算法进行多目标跟踪。 - 使用YOLO11和EasyOCR进行车牌检测与识别。 - 将YOLO11与Flask结合，构建网络应用。 - 创建一个使用YOLO11进行目标检测的Streamlit网络应用。 - 使用YOLO11和PaddleOCR进行车和车牌的检测与识别。 - YOLOv12简介。 - 如何使用YOLOv12进行目标检测。 - 在自定义数据集上微调YOLOv12目标检测模型以进行PPE检测。 本课程为学习者提供了全面的YOLO11与YOLOv12的应用能力，适用于各类计算机视觉任务的开发与实践。
YOLO11 and YOLOv12 are the latest state-of-the-art computer vision model architectures, surpassing previous versions in both speed and accuracy. Building on the advancements of earlier YOLO models, YOLO11 and YOLOv12 introduce significant architectural and training enhancements, making them versatile tools for a variety of computer vision tasks..These models support a wide range of applications, including object detection, instance segmentation, image classification, pose estimation, and oriented object detection (OBB).In this course, you will learn:What's New in Ultralytics YOLO11.How to use Ultralytics YOLO11 for Object Detection, Instance Segmentation, Pose Estimation, and Image Classification.Running Object Detection, Instance Segmentation Pose Estimation and Image Classification with YOLO11 on Windows/Linux.Evaluating YOLO11 Model Performance: Testing and AnalysisTraining a YOLO11 Object Detection Model on a Custom Dataset in Google Colab for Personal Protective Equipment (PPE) Detection. Step-by-Step Guide: YOLO11 Object Detection on Custom Datasets on Windows/Linux.Training YOLO11 Instance Segmentation on Custom Datasets for Pothole Detection.Fine-Tuning YOLO11 Pose Estimation for Human Activity Recognition.Fine-Tuning YOLO11 Image Classification for Plant Classification.Multi-Object Tracking with Bot-SORT and ByteTrack Algorithms.License Plate Detection & Recognition using YOLO11 and EasyOCR.Integrating YOLO11 with Flask to Build a Web App.Creating a Streamlit Web App for Object Detection with YOLO11.Car and License Plate Detection & Recognition with YOLO11 and PaddleOCRIntroduction to YOLOv12.How to use YOLOv12 for Object Detection.Fine-Tune YOLOv12 Object Detection Model on Custom Dataset for PPE Detection.
