rayruiyang/vst_3d_grounding_benchmark

Visual Spatial Tuning

<p align="left"> <a href="https://yangr116.github.io/vstproject/"> <img src="https://img.shields.io/badge/VST-Project-0A66C2?logo=safari&logoColor=white" style="display: inline-block; vertical-align: middle;" alt="VST Project" /> </a> <a href="https://arxiv.org/abs/2511.05491"> <img src="https://img.shields.io/badge/VST-Paper-red?logo=arxiv&logoColor=red" style="display: inline-block; vertical-align: middle;" alt="VST Paper on arXiv" /> </a> <a href="https://github.com/Yangr116/VST" target="blank" style="margin: 2px;"> <img alt="Github" src="https://img.shields.io/badge/VST-Codebase-536af5?color=536af5&logo=github" style="display: inline-block; vertical-align: middle;" alt="VST Codebase" /> </a> </p>

This dataset is the 3D object detection benchmark used in VST. Please follow VST/benchmark to evaluate the models.

git clone https://github.com/Yangr116/VST.git
python tools/download_hf_data.py --repo_id="rayruiyang/vst_3d_grounding_benchmark" --local_dir $YOUR_LOCAL_PATH
cd $YOUR_LOCAL_PATH/vst_3d_grounding_benchmark
tar -zxvf arkit/arkit_omni3d_test_640x480.tar.gz -C arkit
tar -zxvf sunrgbd/sunrgbd_val.tar.gz -C sunrgbd

And, you will get:

$YOUR_LOCAL_PATH/vst_3d_grounding_benchmark
├── arkit
│   ├── annotations
│   └── arkit_wo_rotation
│       └── arkit_omni3d_test_640x480
└── sunrgbd
    ├── annotations
    └── sunrgbd
        └── val