Datasets:

Size Categories:
n>1T
ArXiv:
Tags:
nv-nguyen lhoestq HF staff commited on
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c8acedc
1 Parent(s): b759331

Enable the Dataset Viewer on WebDataset subsets (#8)

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- Enable the Dataset Viewer on WebDataset subsets (30b9e15d27b8cceadbe75e671a2133e656abf228)


Co-authored-by: Quentin Lhoest <lhoestq@users.noreply.huggingface.co>

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  1. README.md +5 -0
README.md CHANGED
@@ -6,6 +6,11 @@ task_categories:
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  - zero-shot-object-detection
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  size_categories:
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  - n>1T
 
 
 
 
 
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  ---
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  # BOP: Benchmark for 6D Object Pose Estimation
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  The goal of BOP is to capture the state of the art in estimating the 6D pose, i.e. 3D translation and 3D rotation, of rigid objects from RGB/RGB-D images. An accurate, fast, robust, scalable and easy-to-train method that solves this task will have a big impact in application fields such as robotics or augmented reality.
 
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  - zero-shot-object-detection
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  size_categories:
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  - n>1T
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+ configs:
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+ - config_name: MegaPose-ShapeNetCore
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+ data_files: MegaPose-ShapeNetCore/*.tar
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+ - config_name: MegaPose-GSO
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+ data_files: MegaPose-GSO/*.tar
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  ---
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  # BOP: Benchmark for 6D Object Pose Estimation
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  The goal of BOP is to capture the state of the art in estimating the 6D pose, i.e. 3D translation and 3D rotation, of rigid objects from RGB/RGB-D images. An accurate, fast, robust, scalable and easy-to-train method that solves this task will have a big impact in application fields such as robotics or augmented reality.