Dataset · Hugging Face

tsakman23/visual_masked_distracting_metaworld_sam

Name: visual_masked_distracting_metaworld_sam
Creator: tsakman23
License: cc-by-4.0
Keywords: task_categories:robotics, language:en, license:cc-by-4.0, size_categories:1M<n<10M, format:parquet, modality:image, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, robot-learning, imitation-learning, latent-action-models, meta-world

Visual Masked Distracting Meta-World (ground-truth + SAM masks) Author: Georgios Tsakoumakis Thesis: Interaction-Masked Latent Action Models for Object-Aware Manipulation under Visual Distractors (MSc, Imperial College London) Expert Meta-World manipulation trajectories rendered with dynamic video-background distractors, carrying both ground-truth and SAM-predicted segmentation masks for the agent and the manipulated object, plus the manipulated object's pose. This is the SAM… See the full description on the dataset page: https://huggingface.co/datasets/tsakman23/visual_masked_distracting_meta

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Author / organization	tsakman23
License (as declared)	cc-by-4.0
Downloads	1.1K (as reported by Hugging Face)
Likes	1
Created	29 August 2026
Last updated at source	8 September 2026

robot-learningimitation-learninglatent-action-modelsmeta-worldworld-modelsdistracting-controlsegmentationsegment-anythingsammanipulationobject-centric

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