AR Try-On Tracking State Transition Evaluation Dataset
- Records
- 5000
- Size
- 0.4GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
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.
Overview
Dataset Insights
Preview
Sample Examples
Schema
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. |
Trust
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
FAQ
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.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
High-quality data, ready for your next AI breakthrough.
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?dataset_task_cate_id=11},
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}
}Using this in research? Please cite us.