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Dataset · Hugging Face

wangchenlong/SEED

Spatial Encoder Evaluation Dataset 923 short video clips with keyframe camera poses and 3D oriented bounding boxes (OBBs) in a per-clip world frame, for evaluating open-vocabulary 3D object detection from monocular video without camera pose input. Pool Clips Keyframes / clip Annotation SpatialVID 734 48 model pre-annotation + LLM review (see below) Sekai (real-walking-hq) 120 48 model pre-annotation + LLM review Boxer (Aria) 38 16 Boxer's own 3D predictions on… See the full description on the dataset page: https://huggingface.co/datasets/wangchenlong/SEED.

Author / organizationwangchenlong
License (as declared)cc-by-nc-4.0
Downloads0 (as reported by Hugging Face)
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Created16 October 2026
Last updated at source16 October 2026
3d-object-detectionvideoopen-vocabularyoriented-bounding-boxcamera-pose
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Recent changes

  • 16 Oct 2026 Description: Video 3D Object Detection Benchmark (v2) 923 short video clips with keyframe camera poses and 3D oriented bounding boxes (OBBs) in a per-clip world frame, for evaluating open-vocabulary 3D object detection from monocular video without camer → Spatial Encoder Evaluation Dataset 923 short video clips with keyframe camera poses and 3D oriented bounding boxes (OBBs) in a per-clip world frame, for evaluating open-vocabulary 3D object detection from monocular video without camera pose
  • 16 Oct 2026 Description: Spatial Encoder Evaluation Dataset 923 short video clips with keyframe camera poses and 3D oriented bounding boxes (OBBs) in a per-clip world frame, for evaluating open-vocabulary 3D object detection from monocular video without camera pose → Video 3D Object Detection Benchmark (v2) 923 short video clips with keyframe camera poses and 3D oriented bounding boxes (OBBs) in a per-clip world frame, for evaluating open-vocabulary 3D object detection from monocular video without camer
  • 16 Oct 2026 Description: Video 3D Object Detection Benchmark (v2) 923 short video clips with keyframe camera poses and 3D oriented bounding boxes (OBBs) in a per-clip world frame, for evaluating open-vocabulary 3D object detection from monocular video without camer → Spatial Encoder Evaluation Dataset 923 short video clips with keyframe camera poses and 3D oriented bounding boxes (OBBs) in a per-clip world frame, for evaluating open-vocabulary 3D object detection from monocular video without camera pose
  • 16 Oct 2026 License: none → cc-by-nc-4.0
  • 16 Oct 2026 Description: none → Video 3D Object Detection Benchmark (v2) 923 short video clips with keyframe camera poses and 3D oriented bounding boxes (OBBs) in a per-clip world frame, for evaluating open-vocabulary 3D object detection from monocular video without camer
  • 16 Oct 2026 Topics added task_categories:object-detection, 3d-object-detection, video, open-vocabulary, oriented-bounding-box, camera-pose

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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.