AR Try-On Tracking State Transition Evaluation Dataset

#state transition prediction #tracking stability evaluation #recovery performance assessment #augmented reality virtual try-on #garment tracking stability assessment #AR tracking performance evaluation

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

This dataset contains simulated sequences of user body motion, camera viewpoint changes, and virtual garment anchor positions, along with reference tracking-state labels over time and events marking transitions between consecutive states. Sequence-level recovery summaries capture tracking loss and recovery behavior, enabling evaluation of how models represent and predict tracking-state changes. It is suited to assessing stable garment following, viewpoint adaptation, and tracking recovery in AR retail try-on.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
recovery_summary	object	Sequence-level metrics summarizing tracking loss and recovery behavior.
transition_events	array	Temporal events marking changes between consecutive reference tracking states.
sequence_observations	object	Simulated observations across frames, including body motion, camera viewpoints, and virtual garment anchor positions.
reference_tracking_states	array	Reference labels specifying the tracking state at each point in the sequence.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?: It includes simulated observations across frames, covering body motion, camera viewpoints, and virtual garment anchor positions; reference tracking states over time; transition events; and sequence-level summaries of tracking loss and recovery.

Which capabilities can the dataset evaluate?: It supports evaluation of tracking-state prediction and transition modeling, as well as stable virtual garment tracking and recovery under user motion and camera viewpoint changes.

What are the dataset size and file format?: The current description does not specify the number of samples, sequence duration, or file format. Refer to the product page or delivery manifest for those details. The dataset fields cover sequence observations, state labels, transition events, and recovery summaries.

How can I obtain the dataset, and what are the licensing terms?: Use the acquisition method listed on the product page to review delivery information, and check the applicable license before use. The dataset is intended for model evaluation and research related to AR retail try-on; permitted uses depend on the license terms.

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Cite this Work

@dataset{Mobiusi2026,
  title={AR Try-On Tracking State Transition Evaluation Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/6567849ba02cfea53c77ff2d62cee999},
  urldate={2026-10-19},
  keywords={AR try-on dataset,virtual garment tracking,tracking state transitions,state prediction evaluation,garment anchor tracking,AR retail evaluation,tracking recovery,simulated sequence data},
  version={1.0}
}

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