How to Use YOLO12 for Object Detection with the Ultralytics Package | Is YOLO12 Fast or Slow? 🚀

Explore the latest addition to the YOLO family, YOLO12. This tutorial provides an overview of its key features, performance benchmarks, and usage. Learn how YOLO12 can be used with the Ultralytics Python package to run inference and train on custom datasets, and how YOLO12 compares to previous models. Key highlights: 00:00 - A New Model in the YOLO family: YOLO12. 00:32 - YOLO12 Documentation Walkthrough. 01:07 - Key Features of the YOLO12 Model. 01:57 - Speed and Accuracy Comparison of the YOLO12 Model. 02:48 - What Ultralytics Tasks YOLO12 Supports. 03:20 - How to compile Flash Attention for the YOLO12 Model. 04:00 - Running inference with YOLO12 using the Ultralytics on a video file. 08:40 - Why Ultralytics YOLO11 is better than YOLO12? 09:15 - Visualization of YOLO11 inference results on the same video used for YOLO12. 09:47 - How to train the YOLO12 Model on a custom dataset? 10:09 - Conclusion and Summary. YOLO12 Documentation ➡️ https://docs.ultralytics.com/models/y... 🔬 Ultralytics YOLO Resources: 💻 GitHub Repository: https://github.com/ultralytics/ 📚 Documentation: https://docs.ultralytics.com/ #Ultralytics #YOLO12 #ComputerVision #AI #MachineLearning #DeepLearning

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How to Use SAHI with Ultralytics YOLO11 for Object Detection in Drone Footage | Real-time or Not? 🚀
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How to Run YOLO Object Detection Models on the Raspberry Pi
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How to use Ultralytics YOLO11 models with NVIDIA Deepstream on Jetson Orin NX 🚀
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