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Duality AI
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https://www.duality.ai
duality-robotics
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AI & ML interests

Embodied AI, synthetic data, AI vision
DualityAI-RebekahBogdanoff 
posted an update 1 day ago
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1350
📢 The Kaggle Synthetic-to-Real Object Detection Challenge is back, and it's a multi-class challenge 😎 !

💵This time we made a harder, multi-class challenge and are offering a larger prize pool. Sign up here: https://www.kaggle.com/competitions/multi-class-object-detection-challenge

🤝 Duality AI is partnering in this competition with 3LC.AI, a cutting-edge platform which enables users to capture per sample metrics and take meaningful action leading to better, faster, and smaller AI models.

Competitors will be challenged to:
✨ Create customized training data with Duality’s cloud-based scenario
✨Analyze data weaknesses and make calculated changes using 3LC’s robust software
✨Optimize data for peak model training

Compete for prizes, certificates, and recognition from peer competitors around the world. Whether you’re a student, researcher, or industry pro, this challenge offers hands-on experience customizing high-fidelity synthetic data for robust models.

Ready to bridge the Sim2Real gap? Join us and start building today!

Sign up here: https://www.kaggle.com/competitions/multi-class-object-detection-challenge
DualityAI-RebekahBogdanoff 
posted an update 22 days ago
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2523
🤔 Ready to build better AI models with synthetic data, but don't know where to start? Why go at it alone?💡

👋 Join Duality AI’s Falcon community! It is one of the best resources for support, creativity, and growth as you move along your synthetic data journey.

➡️Our current Kaggle competition is the easiest way to get started: https://www.kaggle.com/competitions/multi-instance-object-detection-challenge

When you join, you'll meet some of the rising stars in our community, such as:

🌟 Sergio Sanz, @sergio-sanz-rodriguez , who took 1st and 2nd place in recent computer vision Kaggle competitions and shared his process of using R-CNN and Falcon-generated images in this article: https://www.duality.ai/blog/leveraging-synthetic-data-for-real-world-object-detection

🌟Mohana pavan Bezawada, @mohanapavan , who has risen in the ranks from the top 25 in the first competition all the way to top scorer in our current competition! His journey illustrates how dedication + Falcon can take you far in your AI journey.

🌟Nadia TRIKI, who delivered top-tier results in two of our recent Kaggle competitions and shared a detailed breakdown of her strategy - showcasing a deep command of AI training workflows and a commitment to helping others succeed.

Ángel Jacinto Sánchez Ruiz, @Sacus , who mastered FalconCloud to create targeted, high-performance datasets and provided crucial feedback and product requests that improved the data not only for him but for all of the current competitors.

🤩 Join our community today to partner with these super stars, and many more!

➡️ Sign up for a free Falcon subscription here: https://www.duality.ai/edu
➡️Join our Kaggle competition for hands on learning and a chance to win rewards and recognition! https://www.kaggle.com/competitions/multi-instance-object-detection-challenge
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DualityAI-RebekahBogdanoff 
posted an update 30 days ago
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Can AI models trained solely on 100% synthetic data achieve top-tier accuracy in real-world object detection?

👉 @sergio-sanz-rodriguez just proved it while winning Duality AI’s Synthetic-to-Real Object Detection Challenge using Falcon-generated imagery. His model achieved perfect real-world detection accuracy without a single real image in the training loop.

In this blog, Dr. Sanz walks us through his method, which includes the design and training of an advanced pipeline to achieve 100% detection accuracy.
His full technical breakdown covers:
📍 Synthetic-only training
📍 Data augmentation with an ensemble learning approach for better generalization
📍 Custom occlusion generation
📍 A Faster R-CNN model fine-tuned with Falcon generated data
📍 And much more!

The results speak for themselves!
📖 Read the blog here: https://www.duality.ai/blog/leveraging-synthetic-data-for-real-world-object-detection

Congratulations Sergio! We can't wait to see what you do next.

🔔 Ready to take on the next Synthetic-to-Real challenge? The third edition of our Kaggle competition—Multi-Instance Object Detection Challenge—is now live: https://www.kaggle.com/competitions/multi-instance-object-detection-challenge
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DualityAI-RebekahBogdanoff 
posted an update about 1 month ago
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🗣️ 📢 New article alert!

"Integrity Threats in AI: When Data Poisoning Undermines Model Effectiveness" from Duality AI is now on HuggingFace here: https://huggingface.co/blog/DualityAI-RebekahBogdanoff/integrity-threats-in-ai

Significant threats to AI model performance aren’t always loud or obvious. Integrity violations—like subtle data poisoning attacks—can quietly erode your model’s reliability, long before anyone notices. These attacks can be surprisingly effective with minimal changes to the dataset.

At Duality, our work in high-stakes sectors like defense has driven us to tackle this threat head-on. In our latest blog from Duality's Director of Infrastructure and Security at Duality, David Strout, we unpack how data poisoning works, why it’s so dangerous, and how organizations can secure their AI pipelines with clear provenance, regular performance auditing, and a trusted synthetic data supply chain.

Whether you're building AI models for finance, healthcare, manufacturing, or national security—the integrity of these systems is a matter of public safety and security. Taking action today will mitigate fundamental business risks in the very near tomorrow.
DualityAI-RebekahBogdanoff 
posted an update about 1 month ago
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As part of Duality AI’s recent Kaggle competition, we’ve released a free, fully customizable cloud scenario designed to help you create targeted datasets with YOLO-compatible labels.

The cloud simulation lets you customize the:
📸 camera distance
🎞️ film grain variation
🖼️background objects,
➕ and more!

Create the dataset that you need by following this link: https://falcon.duality.ai/secure/scenarios/edit/cca0bc47-265a-4f67-843f-a434b63271b3?utm_source=huggingface&utm_medium=social&utm_campaign=general


I’ve attached an instructional video we used for the competition, but this feature is free for anyone who has an account. https://vimeo.com/1091271731?share=copy
DualityAI-RebekahBogdanoff 
posted an update about 1 month ago
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📢 Duality's Synthetic-to-Real Object Detection Kaggle competition is back!👏

Sign up here ➡️ ➡️ https://www.kaggle.com/competitions/multi-instance-object-detection-challenge/overview

This competition will test users' ability to train a model for multi-instance object detection. Users will:
✨Customize a cloud-based simulation
✨Output unique data for robust model training
✨Optimize training for peak model performance

Compete for cash prizes, certificates, and recognition from peer competitors around the world. Whether you’re a student, researcher, or industry pro, this challenge offers hands-on experience customizing high-fidelity synthetic data for robust models. Ready to bridge the Sim2Real gap? Join us and start building today!
DualityAI-RebekahBogdanoff 
posted an update 3 months ago
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We’re back—with higher stakes, new datasets, and more chances to stand out. Duality AI's Synthetic-to-Real Object Detection Challenge 2 is LIVE!🚦

✍ Sign up here: https://lnkd.in/g2avFP_X

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
DualityAI-RebekahBogdanoff 
posted an update 3 months ago
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🔥 Duality AI released some new datasets this week! 🔥

Click here for the Multi Instance Object Detection dataset: duality-robotics/YOLOv8-Multi-Instance-Object-Detection-Dataset

Click here for the Single Class Object Detection dataset: duality-robotics/YOLOv8-Object-Detection-02-Dataset

You can also get larger datasets here: https://falcon.duality.ai/secure/documentation/ex4-dataset?sidebarMode=learn&utm_source=huggingface&utm_medium=dataset&utm_campaign=multiinstance
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DualityAI-RebekahBogdanoff 
posted an update 3 months ago
DualityAI-RebekahBogdanoff 
published 2 datasets 3 months ago
DualityAI-RebekahBogdanoff 
updated 3 datasets 4 months ago
DualityAI-RebekahBogdanoff 
posted an update 4 months ago
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🤩 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!

Sign up here:
https://forms.gle/xViMMSMsA5GP468J6

In the class, you will:

✔️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!

Interested in checking out FalconEditor? Start your FREE EDU tier account to access online resources and lessons designed to teach you FalconEditor:
https://falcon.duality.ai/auth/sign-up?utm_source=huggingface&utm_medium=social&utm_campaign=031825intro

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.
DualityAI-RebekahBogdanoff 
posted an update 4 months ago
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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
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DualityAI-RebekahBogdanoff 
posted an update 4 months ago
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🙋‍♀️ Happy Monday! Duality AI has released another dataset for pose estimation

duality-robotics/pose_estimation5.1

It's once again 100% ✨FREE✨
Access the full-size dataset by creating an EDU account here- https://falcon.duality.ai/secure/documentation/pose-colab?sidebarMode=learn
Or check it out in the linked HuggingFace dataset

Why train a model in pose estimation?
Many functions require pose estimation, such as...
🤖Defining the orientation of an object on a conveyer belt for pick and place operations with a robotic arm,
🤖 Replicating an object's pose for AR and VR application overlays,
🤖 Localizing and mapping an environment for path navigation,
🤖 ...and more!

What makes this dataset useful for training a model?

💠Duality AI's digital twins are not generated by AI, but are instead crafted by 3D artists. This allows the training from this data to transfer into real-world applicability. Read more about our techniques for bridging the Sim2Real gap here: https://www.duality.ai/blog/ml-synthetic-data-model
💠The simulation software, called FalconEditor, can easily create thousands of images with varying lighting, posing, occlusions, backgrounds, camera positions, and more using a versatile python API
💠FalconEditor is able to create 100% accurate labels at the SAME TIME as it creates the images. This makes collecting data for tasks such pose-estimation easier, faster, and more reliable.

Interested in a specific dataset? Let us know!
We're always looking for new ideas on what datasets to create next 👀
DualityAI-RebekahBogdanoff 
updated a dataset 4 months ago
DualityAI-RebekahBogdanoff 
posted an update 4 months ago
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2856
🚀 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
DualityAI-RebekahBogdanoff 
published a dataset 4 months ago