Datasets:

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ByteDance-Seed

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ByteCameraDepth

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ByteDance Seed 2.05k

This PR significantly improves the dataset card for ByteCameraDepth by:

• Adding task_categories: - depth-estimation to the metadata, making the dataset discoverable by its primary AI task.
• Including relevant tags: - robotics, - 3d, and - simulation to further enhance searchability, reflecting the dataset's context in robotic manipulation and 3D geometry perception, often used for bridging the sim-to-real gap.
• Adding prominent links to the associated paper (Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots), the project page (https://manipulation-as-in-simulation.github.io/), and the main GitHub repository (https://github.com/ByteDance-Seed/manip-as-in-sim-suite) for easy access to related resources.
• Incorporating a "Sample Usage" section with a code snippet from the GitHub README, demonstrating how to run depth inference using the Camera Depth Models (CDMs) trained with this dataset.
• Updating the BibTeX citation to include the Hugging Face paper URL for better traceability.

These updates provide a more comprehensive and organized overview for users exploring the ByteCameraDepth dataset.