Graspclutter6D: A FiftyOne Dataset for Robotic Grasping in Clutter

Harpreetsahota's Graspclutter6D dataset is a FiftyOne dataset with 111 samples. The dataset page on Hugging Face provides further details. Its last recorded update was on 2026-05-21.

Use Cases

• Train object detection models based on the visual data likely contained in the samples.
• Benchmark robotic grasp planning algorithms based on the 6D pose information suggested by the dataset's name.
• Develop and test scene understanding models for cluttered environments based on the dataset's described focus.
• Evaluate computer vision models for pose estimation using the 6D annotation implied by the dataset's title.

Strengths

• Dataset is hosted on Hugging Face and integrates with the FiftyOne data management platform, which suggests a structured format.
• The dataset contains 111 samples, providing a concrete starting point for experimentation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Freshness

Last updated 2026-05-21 21:21:18; freshness should be verified.