duality-robotics/YOLOv8-Multiclass-Object-Detection-Dataset
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Rebekah Bogdanoff PRO
DualityAI-RebekahBogdanoff
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🙋♀️ Happy Monday! Duality AI has released another dataset for pose estimation
https://huggingface.co/datasets/duality-robotics/pose_estimation5.1
It's once again 100% ✨FREE✨
Access the full-size dataset by creating an EDU account here- https://falcon.duality.ai/secure/documentation/pose-colab?sidebarMode=learn
Or check it out in the linked HuggingFace dataset
Why train a model in pose estimation?
Many functions require pose estimation, such as...
🤖Defining the orientation of an object on a conveyer belt for pick and place operations with a robotic arm,
🤖 Replicating an object's pose for AR and VR application overlays,
🤖 Localizing and mapping an environment for path navigation,
🤖 ...and more!
What makes this dataset useful for training a model?
💠Duality AI's digital twins are not generated by AI, but are instead crafted by 3D artists. This allows the training from this data to transfer into real-world applicability. Read more about our techniques for bridging the Sim2Real gap here: https://www.duality.ai/blog/ml-synthetic-data-model
💠The simulation software, called FalconEditor, can easily create thousands of images with varying lighting, posing, occlusions, backgrounds, camera positions, and more using a versatile python API
💠FalconEditor is able to create 100% accurate labels at the SAME TIME as it creates the images. This makes collecting data for tasks such pose-estimation easier, faster, and more reliable.
Interested in a specific dataset? Let us know!
We're always looking for new ideas on what datasets to create next 👀
reacted
to
their
post
with 🤗
3 days ago
🙋♀️ Happy Monday! Duality AI has released another dataset for pose estimation
https://huggingface.co/datasets/duality-robotics/pose_estimation5.1
It's once again 100% ✨FREE✨
Access the full-size dataset by creating an EDU account here- https://falcon.duality.ai/secure/documentation/pose-colab?sidebarMode=learn
Or check it out in the linked HuggingFace dataset
Why train a model in pose estimation?
Many functions require pose estimation, such as...
🤖Defining the orientation of an object on a conveyer belt for pick and place operations with a robotic arm,
🤖 Replicating an object's pose for AR and VR application overlays,
🤖 Localizing and mapping an environment for path navigation,
🤖 ...and more!
What makes this dataset useful for training a model?
💠Duality AI's digital twins are not generated by AI, but are instead crafted by 3D artists. This allows the training from this data to transfer into real-world applicability. Read more about our techniques for bridging the Sim2Real gap here: https://www.duality.ai/blog/ml-synthetic-data-model
💠The simulation software, called FalconEditor, can easily create thousands of images with varying lighting, posing, occlusions, backgrounds, camera positions, and more using a versatile python API
💠FalconEditor is able to create 100% accurate labels at the SAME TIME as it creates the images. This makes collecting data for tasks such pose-estimation easier, faster, and more reliable.
Interested in a specific dataset? Let us know!
We're always looking for new ideas on what datasets to create next 👀
reacted
to
their
post
with 😎
3 days ago
🙋♀️ Happy Monday! Duality AI has released another dataset for pose estimation
https://huggingface.co/datasets/duality-robotics/pose_estimation5.1
It's once again 100% ✨FREE✨
Access the full-size dataset by creating an EDU account here- https://falcon.duality.ai/secure/documentation/pose-colab?sidebarMode=learn
Or check it out in the linked HuggingFace dataset
Why train a model in pose estimation?
Many functions require pose estimation, such as...
🤖Defining the orientation of an object on a conveyer belt for pick and place operations with a robotic arm,
🤖 Replicating an object's pose for AR and VR application overlays,
🤖 Localizing and mapping an environment for path navigation,
🤖 ...and more!
What makes this dataset useful for training a model?
💠Duality AI's digital twins are not generated by AI, but are instead crafted by 3D artists. This allows the training from this data to transfer into real-world applicability. Read more about our techniques for bridging the Sim2Real gap here: https://www.duality.ai/blog/ml-synthetic-data-model
💠The simulation software, called FalconEditor, can easily create thousands of images with varying lighting, posing, occlusions, backgrounds, camera positions, and more using a versatile python API
💠FalconEditor is able to create 100% accurate labels at the SAME TIME as it creates the images. This makes collecting data for tasks such pose-estimation easier, faster, and more reliable.
Interested in a specific dataset? Let us know!
We're always looking for new ideas on what datasets to create next 👀
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