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  # Fractal20220817 Dataset
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- The **[Fractal20220817](https://research.google/blog/rt-1-robotics-transformer-for-real-world-control-at-scale/)** dataset is provided in **RLDS format** and contains monocular depth annotations generated using **[Video-Depth-Anything](https://github.com/DepthAnything/Video-Depth-Anything)**.
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  - **Format**: RLDS
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  - **Depth Annotation method**: Video-Depth-Anything (monocular depth estimation)
 
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  # Fractal20220817 Dataset
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+ The **[Fractal20220817](https://research.google/blog/rt-1-robotics-transformer-for-real-world-control-at-scale/)** dataset is provided in **RLDS format** and contains monocular depth annotations generated using **[Video-Depth-Anything](https://github.com/DepthAnything/Video-Depth-Anything)**(Model: Video-Depth-Anything-V2-Small).
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  - **Format**: RLDS
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  - **Depth Annotation method**: Video-Depth-Anything (monocular depth estimation)