The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 236, in _generate_tables
pa_table = paj.read_json(
^^^^^^^^^^^^^^
File "pyarrow/_json.pyx", line 342, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column() changed from object to string in row 0
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 93, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 250, in _generate_tables
batch = json_encode_fields_in_json_lines(original_batch, json_field_paths)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 90, in json_encode_fields_in_json_lines
examples = [ujson_loads(line) for line in original_batch.splitlines()]
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
WildDet3D: Scaling Promptable 3D Detection in the Wild
WildDet3D is a promptable monocular 3D object detection model that detects and localizes objects in 3D from a single RGB image. It supports text, box, and point prompts for open-vocabulary 3D detection across diverse in-the-wild scenes.
Authors: Weikai Huang, Jieyu Zhang, Sijun Li, Taoyang Jia, Jiafei Duan, Yunqian Cheng, Jaemin Cho, Matthew Wallingford, Rustin Soraki, Chris Dongjoo Kim, Shuo Liu, Donovan Clay, Taira Anderson, Winson Han, Ali Farhadi, Bharath Hariharan, Zhongzheng Ren, Ranjay Krishna
Affiliations: Allen Institute for AI (Ai2), University of Washington, Cornell University, UNC-Chapel Hill
Model Details
| Property | Value |
|---|---|
| Backbone | SAM3 ViT (1024-dim, 32 blocks, patch 14) |
| Depth Backend | LingBot-Depth (DINOv2 ViT-L/14) |
| Parameters | ~1.2B |
| Input | RGB image + camera intrinsics (optional) + sparse/dense depth (optional) |
| Output | 2D boxes, 3D boxes, depth maps, predicted intrinsics |
| Prompt Types | Text, Box (visual/geometric), Point |
| License | SAM License |
When camera intrinsics are not available (e.g., in-the-wild images), the model can predict intrinsics internally. When sparse or dense depth (e.g., from LiDAR) is provided, it is fused for improved 3D localization.
Citation
@article{wilddet3d,
title={WildDet3D: Scaling Promptable 3D Detection in the Wild},
author={Huang, Weikai and Zhang, Jieyu and Li, Sijun and Jia, Taoyang and Duan, Jiafei and Cheng, Yunqian and Cho, Jaemin and Wallingford, Matthew and Soraki, Rustin and Kim, Chris Dongjoo and Liu, Shuo and Clay, Donovan and Anderson, Taira and Han, Winson and Farhadi, Ali and Hariharan, Bharath and Ren, Zhongzheng and Krishna, Ranjay},
year={2026},
}
License
This model uses SAM 3 and LingBot-Depth weights, and is licensed under the SAM License. This model is intended for research and educational use in accordance with Ai2's Responsible Use Guidelines.
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