Ultralytics Live Session Ep. 2: Roboflow x Ultralytics HUB - Training Roboflow Datasets With No Code

Unlock the world of AI and computer vision with Ultralytics! 🚀 In this episode of Ultralytics Live, join Glenn Jocher, Founder & CEO of Ultralytics, and Joseph Nelson, Co-Founder & CEO of Roboflow, as they dive deep into the powerful integration of Roboflow datasets with Ultralytics HUB. Learn how this collaboration simplifies the process of training models with no code, making advanced AI accessible to everyone.

🔍 Key Takeaways:
Discover the seamless data integration between Roboflow and Ultralytics HUB for efficient model training.
Explore YOLOv5's advancements in classification and segmentation, including its top performance on the COCO dataset.
Learn about the latest updates in YOLOv5 v7.0, featuring robust segmentation models.
Get insights into the iterative nature of improving AI models by identifying weak spots, sourcing more data, annotating, retraining, and redeploying.
See practical demonstrations on how to create projects, label datasets, and train models using Ultralytics HUB and Roboflow.

💡 Featured Models and Datasets:
YOLOv5: Advanced capabilities in object detection, classification, and segmentation.
COCO Dataset: Benchmark dataset for real-time instance segmentation.
Roboflow Integration: Streamline your data workflow with Roboflow's powerful tools.

🔗 Useful Resources:
Ultralytics HUB: https://www.ultralytics.com/hub
Roboflow 100 Dataset: https://docs.ultralytics.com/datasets...
How to Train Custom Models with Ultralytics HUB: https://www.ultralytics.com/blog/how-...
YOLOv5 GitHub Repository: https://github.com/ultralytics/yolov5

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📚 AI Insights Blog: https://www.ultralytics.com/blog
🌐 Ultralytics Docs: https://docs.ultralytics.com

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