Udemy – YOLO11: Custom Object Detection & Web Apps in Python 2024 2024-9

Published on: 2024-12-02 19:51:14

Categories: 28

Description

YOLO11 course: Custom Object Detection & Web Apps in Python 2024. This comprehensive and practical course will introduce you to the latest developments in the field of object detection using the YOLO11 model. YOLO11 is a very fast and accurate model developed by Ultralytics capable of performing a wide range of computer vision tasks including object detection, sample segmentation, image classification, pose estimation, and rotating object detection. In this course, you will learn step by step how to train an object recognition model with YOLO11 on custom data. Also, you will learn different methods of evaluating model performance and improving it. In more advanced sections, the construction of web applications for real-time object recognition is discussed.

What you will learn

Object detection, sample segmentation, state estimation and image classification using YOLO11
Train and fine-tune YOLO11 models on custom data
Multi-object tracking using Ultralytics YOLO
Development of Streamlit application for object recognition with YOLO11
Object detection in the browser using YOLO11 and Flask

This course is suitable for people who

They are interested in the field of computer vision
are studying computer vision and want to know how to use YOLO11 for object recognition, sample segmentation, pose estimation, and image classification
They plan to build deep learning applications using computer vision