After the overwhelming response to Challenge 1, we're pushing the boundaries even further in Challenge 2, where your object detection models will be put to the test in the real world after training only on synthetic data.
👉 Join our Synthetic-to-Real Object Detection Challenge 2 on Kaggle!
What’s Different This Time? Unlike our first challenge, we’re now diving deep into data manipulation. Competitors can:
🔹Access 4 new supplemental datasets via FalconCloud with varying lighting, occlusions, and camera angles. 🔹Generate your own synthetic datasets using FalconEditor to simulate edge cases. 🔹Mix, match, and build custom training pipelines for maximum mAP@50 performance
This challenge isn’t just about using synthetic data—it’s about mastering how to craft the right synthetic data. Ready to test your skills?
🏆The Challenge Train an object detection model using synthetic images created with Falcon—Duality AI's cutting-edge digital twin simulation software—then evaluate your model on real-world imagery.
The Twist?
📈Boost your model’s accuracy by creating and refining your own custom synthetic datasets using Falcon!
Win Cash Prizes & Recognition 🔹Earn cash and public shout-outs from the Duality AI accounts Enhance Your Portfolio 🔹Demonstrate your real-world AI and ML expertise in object detection to prospective employers and collaborators. 🔹Expand Your Network 🔹Engage, compete, and collaborate with fellow ML engineers, researchers, and students. 🚀 Put your skills to the test and join our Kaggle competition today: https://lnkd.in/g2avFP_X
🤩 Ready to start creating synthetic data that bridges the Sim2Real gap and trains robust AI models?
🌟 Join Duality AI's free “Intro to Falcon” class this Thursday, March 20th.
Dive into the Digital Twin Simulation workflows—from setting up the simulation software, FalconEditor, to generating custom data. Get hands-on guidance, ask questions, and receive direct support to build a solid foundation for your simulations!
✔️Explore FalconCloud features like the digital twin library and cloud simulations ✔️Set up and navigate FalconEditor as a first-time user ✔️Configure FalconEditor for scenario and data creation ✔️Assemble a sim-ready scenario using Falcon library twins ✔️Generate multiple data types with Falcon’s virtual sensors
New: This class also covers the latest Falcon 5.1 features!
Get access to comprehensive resources for digital twin simulation and synthetic data, access full-featured FalconEditor, and stay up-to-date on future webinars and training courses.
Think building custom digital twins for AI training is hard? Let us show you how to make it easy!
Next week, Duality AI is offering a free "Creating Your Own 4-Wheeled Vehicle Digital Twins for AI Training with Falcon Editor" live class. Sign up here: https://forms.gle/2U5xugMjvSkZdeaR8
What we'll cover: 🚗 Import & Configure a rigged 4-wheeled vehicle and transform it into a controllable system twin using Blueprints. 🚗 Enable Dynamic Control by exposing Python variables for real-time adjustments. 🚗 Attach Sensors to capture valuable simulation data. 🚗 Assemble & Run a Simulation Scenario to generate training data for AI & robotics applications.
See how Falcon creates synthetic data for faster, easier, and more targeted AI training by creating a FREE account here: https://www.duality.ai/edu
