Duality.ai just released a 1000 image dataset used to train a YOLOv8 model in multiclass object detection -- and it's 100% free!
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Duality.ai just released a 1000 image dataset used to train a YOLOv8 model in multiclass object detection -- and it's 100% free!
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https://huggingface.co/datasets/duality-robotics/YOLOv8-Multiclass-Object-Detection-Dataset
duality-robotics/YOLOv8-Multiclass-Object-Detection-Dataset
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https://huggingface.co/datasets/duality-robotics/YOLOv8-Multiclass-Object-Detection-Dataset
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Access the full size dataset by creating an EDU account here- 
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Access the full size dataset by creating an EDU account here- 
https://falcon.duality.ai/secure/documentation/ex3-dataset?sidebarMode=learn
https://falcon.duality.ai/secure/documentation/ex3-dataset?sidebarMode=learn
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Or check it out in the linked HuggingFace dataset!
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Or check it out in the linked HuggingFace dataset!
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What makes this dataset unique, useful, and capable of bridging the Sim2Real gap?
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What makes this dataset unique, useful, and capable of bridging the Sim2Real gap?
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💠  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
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💠  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
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💠  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.
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💠  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.
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💠 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.
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💠 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.
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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: 
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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
https://falcon.duality.ai/secure/documentation/ex3-dataset?sidebarMode=learn
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Once you verify your email, the link will redirect you to the dataset page.
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Once you verify your email, the link will redirect you to the dataset page.
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.
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