Aaron Ransley
aaronransley
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reacted
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DualityAI-RebekahBogdanoff's
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with 🚀
about 1 month ago
Duality.ai just released a 1000 image dataset used to train a YOLOv8 model in multiclass object detection -- and it's 100% free!
https://huggingface.co/datasets/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 ❤️
about 2 months 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
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