rayruiyang/vst_3d_grounding_benchmark
Visual Spatial Tuning 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… See the full description on the dataset page: https://huggingface.co/datasets/rayruiyang/vst_3d_grounding_benchmark.
| Author / organization | rayruiyang |
|---|---|
| Downloads | 312 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 1 February 2026 |
| Last updated at source | 1 February 2026 |
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312 now (-35 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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- 17 Oct 2026 Description: Visual Spatial Tuning This dataset is the 3D object detection benchmark used in VST. Please follow VST/benchmarkto evaluate the models. git clone https://github.com/Yangr116/VST.git python tools/download_hf_data.py --repo_id="rayruiyang/vst → Visual Spatial Tuning 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/vs
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