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Training YOLO with Synthetic Data from Duality AI's Falcon🎮📊
Hi Huggingface community! 👋
Duality.ai is excited to share a Google Colab notebook that demonstrates how easy it is to train YOLOv8 using synthetic data generated in our Falcon simulation software—and see it work in the real world!

https://storage.googleapis.com/duality-public-share/syntheticDataWorks.ipynb

Train using synthetic images of a cereal box digital twin, then see it work on real-world images.🥣💛

Instructions for running this can be found here: https://falcon.duality.ai/secure/documentation/see-synth-work-no-specs
You'll have to create an account to view it, but the notebook by itself explains itself very well.

This method is a game-changer for cost-effective, scalable, and customizable datasets in computer vision.
Why Synthetic Data?🤔
- Precise Annotations: Get bounding boxes, segmentation masks, and more without manual effort.
- Customizable Scenarios: Simulate diverse conditions like lighting and weather.
What’s in the Notebook?📓
- Training & Evaluation: Train YOLOv8 with synthetic data and test its performance on real-world samples.
Try it Out! 🚀
Access the notebook here:
https://storage.googleapis.com/duality-public-share/syntheticDataWorks.ipynb
It’s fully documented and ready for you to explore and adapt.

Want to create your own custom datasets? Checkout Falcon here:
https://falcon.duality.ai/auth/sign-up
https://www.duality.ai/edu

Let’s Discuss!💬
How are you using synthetic data in ML projects? Let’s connect—drop your thoughts or questions below or on our Discord! https://discord.com/invite/dualityfalconcommunity