Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code: ConfigNamesError
Exception: ReadTimeout
Message: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 151eb309-a525-4914-9b65-379f997c312e)')
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
config_names = get_dataset_config_names(
^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
dataset_module = dataset_module_factory(
^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1207, in dataset_module_factory
raise e1 from None
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 1182, in dataset_module_factory
).get_module()
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/load.py", line 598, in get_module
standalone_yaml_path = cached_path(
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 180, in cached_path
).resolve_path(url_or_filename)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 198, in resolve_path
repo_and_revision_exist, err = self._repo_and_revision_exist(repo_type, repo_id, revision)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_file_system.py", line 125, in _repo_and_revision_exist
self._api.repo_info(
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2816, in repo_info
return method(
^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
return fn(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/hf_api.py", line 2673, in dataset_info
r = get_session().get(path, headers=headers, timeout=timeout, params=params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 602, in get
return self.request("GET", url, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/requests/sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/huggingface_hub/utils/_http.py", line 96, in send
return super().send(request, *args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/requests/adapters.py", line 690, in send
raise ReadTimeout(e, request=request)
requests.exceptions.ReadTimeout: (ReadTimeoutError("HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. (read timeout=10)"), '(Request ID: 151eb309-a525-4914-9b65-379f997c312e)')Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Event6DBlender (Blender-Rendered Training Data — easy subset)
Synthetic Blender renders + simulated event streams used to train the depth-extrapolation network behind Event6D (CVPR 2026).
This repository hosts the easy subset that was actually consumed by the released
training run (the dataloader hardcodes categories=['easy']). A separate companion repo
mickeykang/Event6DBlenderMedium
hosts the medium extension — extra data not used by the released checkpoint.
Layout
Event6DBlender/
├── train.txt # full split list (714 easy + 1354 medium)
├── test.txt # 590 sequences (204 easy + 386 medium)
├── gso/<obj_id>/... # 1035 Google Scanned Objects meshes (CC-BY 4.0)
├── EvBlenderProc/25-07-30_easy_9/train_pbr/<seq>/
│ ├── rgb/<frame>.png # 120 frames per sequence, 480×640 RGB
│ ├── depth/<frame>.png # 16-bit metric depth (scale in scene_camera.json)
│ ├── mask/<frame>_<obj>.png
│ ├── mask_visib/<frame>_<obj>.png # visible-object masks (used by dataloader)
│ ├── scene_camera.json # per-frame intrinsics K
│ ├── scene_gt.json # per-frame (R, t) for every object
│ ├── scene_gt_coco.json, scene_gt_info.json
└── EvBlenderProcEv/25-07-30_easy_9/<seq>/
└── 0001.npz, 0002.npz, ... # raw events per inter-frame interval
# .npz['data'] = struct(x, y, t, p)
Per-sequence: ≈120 RGB frames + 120 depth + ≈30 event npz files. 714 sequences total.
Splits
train.txt: 2068 sequences (714 easy + 1354 medium)test.txt: 590 sequences (204 easy + 386 medium)
Released checkpoint uses easy only. For medium, see
mickeykang/Event6DBlenderMedium.
Download
huggingface-cli download mickeykang/Event6DBlender --repo-type dataset \
--local-dir ./data/Event6DBlender
Disk-space note
The training pipeline materializes a voxel-grid cache next to the events on first run
(EvBlenderProcEv_cache/, ≈90 GB across the full split). The cache is deterministic and
disposable — delete it any time to reclaim space.
Attribution
- GSO meshes: Google Scanned Objects by Google Research — released under CC-BY 4.0.
- Renders produced with BlenderProc; events simulated with ESIM (UZH-RPG).
Citation
@inproceedings{kang2026event6d,
title = {Event6D: Event-based Novel Object 6D Pose Tracking},
author = {Kang, Jae-Young and
Cho, Hoonehee and
Lee, Taeyeop and
Kang, Minjun and
Wen, Bowen and
Kim, Youngho and
Yoon, Kuk-Jin},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2026}
}
- Downloads last month
- 10,705