Rebekah Bogdanoff PRO

DualityAI-RebekahBogdanoff

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🚀 Duality is super excited to announce that our Kaggle competition is LIVE! Synthetic-to-Real Object Detection Challenge is LIVE! 🚦
Want to master AI training, learn industry-proven synthetic data workflows, and compete for public recognition and cash prizes?

👉 Join our Synthetic-to-Real Object Detection Challenge on Kaggle! https://www.kaggle.com/competitions/synthetic-2-real-object-detection-challenge/overview

Compete to build the top-performing model capable of detecting real-world objects—trained entirely on synthetic data. Master these industry-proven methods for faster, more targeted, and diverse dataset creation, and set yourself apart, unlocking today's most exciting AI opportunities.

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! Get access to the tools and double the data by following this link and creating a free account-
https://falcon.duality.ai/secure/documentation/ex-1-objdetection?sidebarMode=learn

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://www.kaggle.com/competitions/synthetic-2-real-object-detection-challenge/overview
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3146
Duality.ai just released a 1000 image dataset used to train a YOLOv8 model in multiclass object detection -- and it's 100% free!
duality-robotics/YOLOv8-Multiclass-Object-Detection-Dataset

Access the full size dataset by creating an EDU account here- https://falcon.duality.ai/secure/documentation/ex3-dataset?sidebarMode=learn

Or check it out in the linked HuggingFace dataset!

What makes this dataset unique, useful, and capable of bridging the Sim2Real gap?

💠 The digital twins are not generated by AI, but instead crafted by 3D artists to be INDISTINGUISHABLE from the physical-world objects. This allows the training from this data to transfer into real-world applicability

💠 The simulation software, called FalconEditor, can easily create thousands of images with varying lighting, posing, occlusions, backgrounds, camera positions, and more. This enables robust model training.

💠 The labels are created along with the data. This not only saves large amounts of time, but also ensures the labels are incredibly accurate and reliable.

This HuggingFace dataset is a 20 image and label sample, but you can get the rest at no cost by creating a FalconCloud account here: https://falcon.duality.ai/secure/documentation/ex3-dataset?sidebarMode=learn.

Once you verify your email, the link will redirect you to the dataset page.

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