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replied to
DualityAI-RebekahBogdanoff's
post
14 days 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?
š 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
š 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.
š 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.
replied to
DualityAI-RebekahBogdanoff's
post
14 days 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?
š 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
š 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.
š 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.
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