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
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!
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.
