Update README.md

README.md

@@ -10,13 +10,17 @@ This dataset is an extension of the ShapeNetV2 dataset, enhanced with symmetry a
 ### Key Features:
 
 Objects: 3D models from the ShapeNetV2 dataset, covering various categories.
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 Symmetry Annotations: Each object is annotated with one or more symmetry axes, covering discrete, continuous, texture, and geometric symmetries.
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 Applications: Ideal for use in pose estimation tasks, symmetry-aware machine learning models, and 3D object analysis.
 
 ## Current Status:
 
 Subset Selection: We have screened approximately 7000 objects from the ShapeNetV2 dataset (out of a total of 55,000 objects).
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 Symmetry Annotations: ~~Only a portion of these 7000 objects currently includes symmetry axis annotations. The remaining models will be annotated and uploaded over time.~~We completed the symmetry axis localization for all models and uploaded the corresponding files on February 6, 2025.
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 ~~Future Work: The symmetry axis annotations for the rest of the selected models are expected to be completed by the end of 2024.~~ 
 
 
@@ -31,6 +35,7 @@ Original ShapeNetV2 dataset can be accessed here: https://www.paris.inria.fr/arc
 The dataset is organized as follows:
 
 Models: 3D models from ShapeNetV2 in .obj format.
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 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
@@ -46,6 +51,7 @@ You can find more details and access the project's GitHub repository here: https
 This dataset consists of two parts with different licenses:
 
 ShapeNetV2 data: The 3D models are under the original ShapeNetV2 license. Please refer to the ShapeNet page for the applicable license.
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 Symmetry axis data: The symmetry annotations provided in this dataset are released under the MIT License.
 
 ## 6. Contributors