license: mit

Google Scanned Objects (GSO) Symmetry Axis Dataset

1. Dataset Description

This dataset is an extension of the Google Scanned Objects (GSO) dataset, enriched with symmetry axis annotations for each object. It is designed to assist in pose estimation tasks by providing explicit symmetry information for objects with both geometric and texture symmetries.

Key Features:

Objects: 3D scanned models of various objects from the GSO dataset. Symmetry Annotations: Each object is annotated with one or more symmetry axes (if applicable), covering discrete, continuous, texture, and geometric symmetries. Applications: Useful for tasks like pose estimation, object detection, and symmetry-aware 3D model analysis.

2. Data Source

This dataset is derived from the publicly available Google Scanned Objects (GSO) dataset. We added symmetry axis annotations based on the geometric and texture properties of the objects.

The GSO dataset can be accessed here: https://www.paris.inria.fr/archive_ylabbeprojectsdata/megapose/tars/google_scanned_objects.zip

3. Dataset Structure

The dataset is organized as follows:

Models: 3D object models from the GSO dataset. Symmetry Axes: A JSON file for each object containing symmetry axis data, including discrete, and continuous symmetry information.

The JSON file is organized based on the BOP format: https://github.com/thodan/bop_toolkit

4. Project Reference

This dataset was created as part of the KASAL (Key-Axis-based Symmetry Axis Localization) Project.

You can find more details and access the project's GitHub repository here: https://github.com/WangYuLin-SEU/KASAL

5. License

This dataset consists of two parts with different licenses:

Google Scanned Objects (GSO) data: The GSO dataset is under its original license. Please refer to the Google Scanned Objects dataset page for the applicable license. Symmetry axis data: The symmetry axis annotations provided in this dataset are released under the MIT License.

6. Contributors

Yulin Wang (Southeast University, China)

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