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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'test' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    FileNotFoundError
Message:      [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7f244631b5f0>'
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4376, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2658, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2836, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2374, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/xml/xml.py", line 67, in _generate_tables
                  with open(file, encoding=self.config.encoding, errors=self.config.encoding_errors) as f:
                       ~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/streaming.py", line 73, in wrapper
                  return function(*args, download_config=download_config, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 967, in xopen
                  return open(main_hop, mode, *args, **kwargs)
              FileNotFoundError: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7f244631b5f0>'

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.

YAML Metadata Warning:The task_categories "object-tracking" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Traffic Management Dataset

A large-scale urban traffic dataset combining Bengaluru CCTV footage with the UA-DETRAC benchmark. Contains annotated images for vehicle detection, classification, and multi-object tracking across four sub-datasets totalling ~196,000 images.

Dataset Structure

├── BMD-45-Train/          # 35,792 images, COCO format annotations
│   ├── images_000/
│   └── _annotations.coco.json
├── UVH-26-Train/          # 17,387 images, COCO format annotations
│   ├── data/
│   │   ├── 000/
│   │   ├── 001/
│   │   └── 002/
│   ├── UVH-26-ST-Train.json
│   └── UVH-26-MV-Train.json
├── IITM-HeTra_v2/         # 2,836 images, Pascal VOC XML annotations
│   ├── Dataset-1/
│   │   ├── images/
│   │   ├── images_test/
│   │   ├── xmls/
│   │   ├── xmls_test/
│   │   ├── trainval.txt
│   │   └── test.txt
│   └── Dataset-2/
│       ├── images/
│       ├── images_test/
│       ├── xmls/
│       ├── xmls_test/
│       ├── trainval.txt
│       └── test.txt
└── DETRAC/                # 140,131 images, XML annotations + MOT toolkit
    ├── DETRAC-Images/
    ├── DETRAC-Train-Annotations-XML/
    ├── DETRAC-Test-Annotations-XML/
    └── DETRAC-MOT-toolkit/

Vehicle Categories

Bengaluru datasets (BMD-45, UVH-26, IITM-HeTra) — 13–14 classes:

Class Description
Two-wheeler Motorcycles, scooters
Three-wheeler Auto-rickshaws
Hatchback Small passenger cars
Sedan Mid-size passenger cars
SUV Sport utility vehicles
MUV Multi-utility vehicles
Van Vans
LCV Light commercial vehicles
Mini-bus Small buses
Bus Full-size buses
Tempo-traveller Tempo travellers
Truck Heavy trucks
Bicycle Bicycles
Others (UVH-26 only)

DETRAC — car, bus, van, others (highway traffic, China)

Statistics

Sub-dataset Images Annotations Format Source
BMD-45-Train 35,792 373,132 COCO JSON Bengaluru CCTV
UVH-26-Train 17,387 COCO JSON Bengaluru CCTV
IITM-HeTra_v2 2,836 Pascal VOC XML IIT Madras
DETRAC 140,131 XML + MOT UA-DETRAC benchmark
Total ~196,000 370,000+

Download

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="kalyan1729/trafficmanagementdataset",
    repo_type="dataset",
    local_dir="./trafficmanagementdataset"
)

Or download a specific sub-dataset:

from huggingface_hub import snapshot_download

snapshot_download(
    repo_id="kalyan1729/trafficmanagementdataset",
    repo_type="dataset",
    local_dir="./iitm_hetra",
    allow_patterns="IITM-HeTra_v2/**"
)

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

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