Mish Sukharev

Mishsim

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reacted to DualityAI-RebekahBogdanoff's post with 🧠 13 days ago

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 ❤️ 13 days ago

reacted to DualityAI-RebekahBogdanoff's post with 🤗 13 days ago

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reacted to DualityAI-RebekahBogdanoff's post with 🧠❤️🤗 13 days ago

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3061

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 👀🚀❤️🧠👍 26 days ago

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2421

🗣️💬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

updated a Space 27 days ago

README

💻

New activity in duality-robotics/README 27 days ago

Update README.md

#1 opened 2 months ago by

DualityAI-RebekahBogdanoff

replied to DualityAI-RebekahBogdanoff's post about 1 month ago

Interesting! Do I need to install FalconEditor beforehand?

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

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1834

🗣️📢This Friday January 24th at 11 ET, Duality.ai is hosting a free class demonstrating how to craft synthetic data using game engines and digital twin simulation workflows (not GenAI) in our FalconEditor simulation software. https://forms.gle/89Y7QrkrYJV6JrFk7

🤔Curious to delve into digital twin simulation for AI training, but don't know where to start?
Get hands-on experience with FalconEditor and learn how to assemble digital twins into simulation scenarios that produce high-quality synthetic data.

👉 Note: You don't have to wait for Friday to experiment with Falcon. Create a free account here and start learning to create synthetic data and train AI models: https://falcon.duality.ai/secure/documentation?learnWelcome=true&sidebarMode=learn

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

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1948

Learn about using (crafted, not GenAI) synthetic data from simulation to train and AI vision model by watching the replay of Duality's webinar from Friday-
https://www.youtube.com/watch?v=BmpH3xtoS38

You can also see the replay for the free Photogrammetry course-
https://www.youtube.com/watch?v=52gCkc9Hijg
We take you through a free workflow for creating digital twins that can then be used in simulation to create synthetic data.

Finally, hear from our Senior Technical Artist here at Duality.ai. His work with Unreal Engine, building digital twins that we use to generate accurate synthetic data, is indispensable to our success with training AI vision models-
https://www.youtube.com/watch?v=tIwz_i5RU7E

replied to DualityAI-RebekahBogdanoff's post 2 months ago

Awesome to see new exercises arriving so quickly!

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

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1975

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

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