Custom Object Detection Tutorial using YOLOv8 | Python

Publicado el: 03 agosto 2024
en el canal de: Hackers Realm

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⭐️ Content Description ⭐️
In this video, I have explained about how to train your own custom object detection model using YOLO. We transformed the dataset to YOLO format and trained the model from scratch to detect cars from the image.
GitHub Code Repo: http://bit.ly/dlcoderepo
Dataset link: https://www.kaggle.com/datasets/sshik...
Text-based Tutorial: https://www.hackersrealm.net/post/cus...

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🕒 Timeline
00:00 Introduction to Object Detection
00:54 Install & Import Modules
04:23 Load the Dataset
06:50 Preprocess the Dataset
11:04 Exploratory Data Analysis
17:27 Create Annotations for YOLO Format
25:34 Split Data for Training & Testing
36:17 YOLOv8 Model Training
43:53 Test with Real Image

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En esta página del sitio puede ver el video en línea Custom Object Detection Tutorial using YOLOv8 | Python de Duración hora minuto segunda en buena calidad , que subió el usuario Hackers Realm 03 agosto 2024, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 2,212 veces y le gustó 29 a los espectadores. Disfruta viendo!