Michael Taylor

Mike-DualityAI

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reacted to DualityAI-RebekahBogdanoff's post with ❤️ 3 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 ❤️ 16 days ago

🗣️💬We at Duality.ai want to hear about your specific dataset needs!! We created a pose estimation dataset and an explanatory colab here: ➡️Dataset: https://huggingface.co/datasets/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 ❤️ about 2 months ago

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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