Ultralytics YOLO11 | Training, Inference, Benchmarking, and Deployment Explained! 🚀 - How to Train Ultralytics YOLO11 on the Objects365 Dataset with Ultralytics | 2M Annotations 🚀

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15 hours of video
Certificate of completion
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Keywords

objects365 dataset yolo11 training ultralytics yolo11 colab tutorial train yolo on objects365 ultralytics yolo11 custom yolo training objects365 yolo yaml google colab yolo object detection dataset yolo11 model training ai training pipeline

Full Transcript

Learn how to train the Ultralytics YOLO11 model using the Objects365 dataset. We’ll walk through the dataset documentation, explore its key features, set up the dataset YAML file, configure training parameters, and train the YOLO11 model directly in a Google Colab notebook. Key highlights: 00:00 - Introduction to the Objects365 dataset 00:37 - Walkthrough of the Objects365 dataset documentation 01:48 - Exploring key features of the Objects365 dataset 02:24 - Overview of the dataset YAML file and class definitions 04:12 - Training parameters for Ultralytics YOLO models 04:46 - Training YOLO11 on the Objects365 dataset in Google Colab 07:42 - Conclusion and summary Explore more ➡️ https://docs.ultralytics.com/datasets/detect/objects365/ Ultralytics YOLO Resources: 💻 GitHub Repository: https://github.com/ultralytics/ 📚 Documentation: https://docs.ultralytics.com/ #YOLO #Ultralytics #Objects365 #ObjectDetection #ComputerVision #DeepLearning #MachineLearning #AI #GoogleColab #YOLO11