Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: ValueError
Message: Invalid string class label MDMT@9eda1d2a8701a507151f58254b958d6fc2735891
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2386, in __iter__
example = _apply_feature_types_on_example(
example, self.features, token_per_repo_id=self.token_per_repo_id
)
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2303, in _apply_feature_types_on_example
encoded_example = features.encode_example(example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2178, in encode_example
return encode_nested_example(self, example)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1460, in encode_nested_example
{k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1483, in encode_nested_example
return schema.encode_example(obj) if obj is not None else None
~~~~~~~~~~~~~~~~~~~~~^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1158, in encode_example
example_data = self.str2int(example_data)
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1095, in str2int
output = [self._strval2int(value) for value in values]
~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1116, in _strval2int
raise ValueError(f"Invalid string class label {value}")
ValueError: Invalid string class label MDMT@9eda1d2a8701a507151f58254b958d6fc2735891Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
MDMT (Multi-Drone Multi-Target Tracking)
MDMT 是一个遮挡感知的多无人机多目标跟踪数据集，用于协同检测与跨视角身份关联研究，即利用多架无人机的互补视角克服单机跟踪在遮挡下的不足。数据集由天津大学 / VisDrone 团队发布，论文发表于 IEEE Transactions on Multimedia (2023)。
数据规模
- 88 个视频序列，39,678 帧高分辨率图像（1920×1080）
- 由两架无人机采集，覆盖城市道路、郊区道路、停车场等场景，含昼夜与多种天气条件
- 11,454 个不同目标 ID（行人、自行车、汽车）
- 2,204,620 个包围框标注，其中 543,444 个含目标遮挡
- 提供跨视角身份关联标注与无人机内外参信息
任务与评测
- 多目标跟踪（MOT）
- 跨设备 / 跨视角身份匹配
- 遮挡目标解析
配套提出多设备目标关联评分 MDA（Multi-device Association score）作为跨视角关联能力的评测指标，以及 MIA-Net 基线方法。
引用
@article{liu2023robust,
title={Robust Multi-Drone Multi-Target Tracking to Resolve Target Occlusion: A Benchmark},
author={Liu, Zhihao and Shang, Yuanyuan and Li, Timing and Chen, Guanlin and Wang, Yu and Hu, Qinghua and Zhu, Pengfei},
journal={IEEE Transactions on Multimedia},
year={2023},
publisher={IEEE}
}
License
Other — 原始发布方未提供 LICENSE 文件
- 项目主页：https://github.com/VisDrone/Multi-Drone-Multi-Object-Detection-and-Tracking
- 该仓库已发布代码与数据集说明，但未包含 LICENSE 文件，也未声明任何许可条款。
⚠️ 因此本卡片不使用
apache-2.0。原发布方未授予再许可，任何开源许可标识都属于越权声明。若需明确使用条款（尤其是商业用途、再分发），请直接联系 VisDrone 团队 / 论文通讯作者确认。
本镜像仅用于学术研究，不授予超出原始发布方意图的额外权利。数据集包含真实场景中的行人与车辆影像，使用者需自行评估隐私与合规影响。
- Downloads last month
- 378