Michael Taylor

Mike-DualityAI

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reacted to DualityAI-RebekahBogdanoff's post with ❤️ 8 days ago

🤩 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.

reacted to DualityAI-RebekahBogdanoff's post with 🚀 16 days ago

🚀 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

reacted to DualityAI-RebekahBogdanoff's post with ❤️ 16 days ago

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reacted to DualityAI-RebekahBogdanoff's post with ❤️ 8 days ago

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2713

🤩 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.

reacted to DualityAI-RebekahBogdanoff's post with 🚀❤️ 16 days ago

Post

2823

🚀 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

liked a dataset 20 days ago

duality-robotics/pose_estimation5.1

Viewer • Updated 19 days ago • 20 • 125 • 5

reacted to DualityAI-RebekahBogdanoff's post with 🚀👍 20 days ago

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3199

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.

reacted to DualityAI-RebekahBogdanoff's post with 🤗🔥 27 days ago

Post

3111

✨🎉Duality.ai just released a multiclass object detection dataset for YOLOv8, as well as a tutorial on how to create your own multiclass dataset!

Carefully crafted (not GenAI created) synthetic data that ACTUALLY trains a model that works in the physical world.

Create a free FalconEDU account, and download the 1000 image and annotation dataset - https://falcon.duality.ai/secure/documentation/ex3-dataset?sidebarMode=learn
-or-
Follow along with Exercise 3: Multiclass Object Detection to start creating - https://falcon.duality.ai/secure/documentation/ex3-objdetection-multiclass
-or-
Download this Colab notebook to see the data work, no hardware required - https://falcon.duality.ai/secure/documentation/ex3-dataset?sidebarMode=learn

reacted to DualityAI-RebekahBogdanoff's post with ❤️ about 1 month ago

Post

3099

This Friday at 11 pm ET, Duality.ai is offering a free course on creating realistic materials in simulation. https://forms.gle/iHjqojKUEJZ3EU7w6

Crafting data in simulation that is indistinguishable from the physical world is essential for bridging the sim2real gap. Physically Based Rendering, or PBR, materials play a huge role in realism. Join us the Friday to learn more.

Duality.ai has been successful in using game engine simulation to create synthetic data that jumps the sim2 real gap for many commercial clients including JPL-NASA, AWS, P&G, and more. Check out our educational content to access the software and the work flow that makes this possible https://www.duality.ai/edu

reacted to DualityAI-RebekahBogdanoff's post with ❤️ about 2 months ago

Post

2437

🗣️💬We at Duality.ai want to hear about your specific dataset needs!!

We created a pose estimation dataset and an explanatory colab here:
➡️Dataset: duality-robotics/pose_estimation
➡️Colab: https://falcon.duality.ai/secure/documentation/pose-colab (you will have to create a free account to access)

😎We want to continue supporting the computer vision community, but we need to hear from you-
❓What computer vision tasks you are working on that could benefit from intentionally crafted data produced by our simulation software, FalconEditor?

Share your ideas in the comment section below, and we'll create annotated and labeled datasets to address the most pressing community needs.

Some areas to consider:

- Object detection in challenging environments
- Semantic segmentation for diverse scenes
- Pose Estimation data set with variance (IDK)
- Multi-object tracking
- Anomaly detection
- Domain-specific tasks (e.g., medical imaging, autonomous driving)

Let us know your dataset needs, and we'll work on generating synthetic data to address them!

As always, create a free EDU account to start using FalconEditor to create synthetic data on your own! Sign up here: https://falcon.duality.ai/auth/sign-up

reacted to DualityAI-RebekahBogdanoff's post with ❤️ 3 months ago

Post

1978

Training YOLO with Synthetic Data from Duality AI's Falcon Simulation Software 🎮📊
Hello again! 👋 Duality.ai has released a second Google Colab and tutorial for training a YOLOv8 model using synthetic data from our Falcon simulation software!

https://falcon.duality.ai/secure/documentation/see-synth-work-no-specs?sidebarMode=learn#download-the-colab-notebook

Train using synthetic images of a soup can twin this time, and see it work on real-world images. 🥫🍜
The tutorial also walks you through how to add your own twin from our FalconCloud library, and our goal is to equip people like you to be able to create your own data for your own projects.

You'll have to create a free account to access the files, but once you do, you'll have access to not only this colab file, but also all of our lessons and our digital twin library. 🎓

Instructions for creating the synthetic data accessed by the colab notebook can be found here: https://falcon.duality.ai/secure/documentation/ex2-objdetection-newtwin?sidebarMode=learn

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: Get comprehensive data and cover all corner cases by simulating diverse conditions like lighting, weather, visual occlusions, and more.

What’s in the Notebook?📓
- Training & Evaluation: Train YOLOv8 with synthetic data and test its performance on real-world samples.

Let’s Discuss!💬
Check out our discord to see how people are using the Falcon simulation software to develop strong datasets and train robust models. https://discord.com/invite/dualityfalconcommunity

2 replies

replied to DualityAI-RebekahBogdanoff's post 3 months ago

@DualityAI-RebekahBogdanoff - Thanks for posting this for the community! This is an important one - it opens the door to our users easily creating their own data and detection models, all built off of the process laid out in Exercise 1 and leveraging the ready-to-use digital twin catalog that we offer to our users.

Very excited to see what the community here builds!

replied to DualityAI-RebekahBogdanoff's post 4 months ago

@DualityAI-RebekahBogdanoff - Thanks for posting this and sharing with the community! Helping people use synthetic data to build better AI models in less time is a big part of what we do at Duality and I'm very excited that we can share this public example with the Hugging Face community.