The dataset viewer is not available for this split.
Error code: FeaturesError
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7fe660dab740>'
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/python3.12/site-packages/datasets/iterable_dataset.py", line 4195, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2533, in _head
return next(iter(self.iter(batch_size=n)))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2711, in iter
for key, pa_table in ex_iterable.iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2249, in _iter_arrow
yield from self.ex_iterable._iter_arrow()
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/streaming.py", line 73, in wrapper
return function(*args, download_config=download_config, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/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 0x7fe660dab740>'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.
Indian Vehicle Dataset — Sample
⚠️ This is a free sample subset for evaluation purposes only.
The full dataset (50,000+ annotated images, multiple formats) is available for commercial licensing.
Contact: sales@datacluster.ai · datacluster.ai
Dataset Summary
This dataset contains real-world images of Indian vehicles, captured on mobile phones across diverse urban and rural environments throughout India. It is well-suited for training vehicle detection and classification models used in traffic monitoring, autonomous driving, smart city surveillance, automated tolling, and India-specific automotive applications.
Scenes cover a wide variety of road scenarios, including dense city traffic, highways, rural roads, parking lots, and intersections — covering both indoor (parking) and outdoor environments under varied lighting and weather conditions. The dataset captures vehicle types unique to Indian roads, making it especially valuable for models that need to perform reliably in the Indian subcontinent.
Classes
Indian AutoIndian TruckBusTruckTempo TravellerTractorCarTwo Wheelers
Sample vs. Full Dataset
| Sample (this repo) | Full Dataset | |
|---|---|---|
| Images | ~200 (subset) | 50,000+ |
| Annotation formats | Pascal VOC (XML) — other formats available on request | COCO, YOLO, Pascal VOC, TF-Record |
| Locations covered | Representative subset | 1,000+ cities across India |
| Resolution | HD (1920×1080 and above) | HD (1920×1080 and above) |
| Scene diversity | Representative subset | Full range (urban, rural, day, night, close, far) |
| Commercial use | ❌ Not permitted | ✅ With license |
| Redistribution | ❌ Not permitted | Per license terms |
| Updates | One-time | Ongoing |
To license the full dataset: sales@datacluster.ai
Dataset Structure
indian-vehicle-dataset/
├── images/ # JPG images
│ ├── image_0001.jpg
│ └── ...
└── annotations/ # Pascal VOC XML annotations (one per image)
├── image_0001.xml
└── ...
Each XML file contains bounding-box annotations in the Pascal VOC format, with filenames matching their corresponding image.
Need a different annotation format? This sample ships in Pascal VOC (XML) only. YOLO, COCO, and TF-Record versions are available on request — see the conversion snippet below, or contact sales@datacluster.ai.
Data Collection
- Source: Real-world mobile phone captures, crowdsourced from 1,000+ contributors
- Locations: 1,000+ cities across urban and rural India
- Capture period: 2020–2022
- Resolution: 100% HD and above (1920×1080+)
- Conditions: Indoor and outdoor scenes; varied lighting (day, night), weather, distances, and vantage points
- Quality: Each image manually reviewed and verified by computer vision professionals at DataCluster Labs
- Use cases: Vehicle detection, automobile classification, construction vehicle detection, self-driving systems, traffic monitoring, smart city applications
How to Use
Download
# Using the Hugging Face CLI
huggingface-cli download Dataclusterlabspvtltd/Indian-Vehicle-Dataset --repo-type dataset --local-dir ./indian-vehicle-dataset
Or clone directly:
git lfs install
git clone https://huggingface.co/datasets/Dataclusterlabspvtltd/Indian-Vehicle-Dataset
Convert VOC to YOLO or COCO
The sample ships in Pascal VOC format. Convert easily with pylabel:
from pylabel import importer
# VOC → YOLO
dataset = importer.ImportVOC(path="annotations")
dataset.export.ExportToYoloV5(output_path="annotations_yolo")
# VOC → COCO
dataset.export.ExportToCoco(output_path="annotations_coco/annotations.json")
License
This sample dataset is released under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
Key points:
- ✅ Free to download and evaluate
- ✅ Free for academic and non-commercial research with attribution
- ❌ No commercial use without a license from DataCluster Labs
- ❌ No derivative works or modifications for redistribution
- ❌ No use in training commercial ML models
For commercial licensing of the full dataset, contact sales@datacluster.ai.
Citation
If you use this dataset in academic work, please cite:
@misc{datacluster_indian_vehicle_sample,
title = {Indian Vehicle Dataset (Sample)},
author = {DataCluster Labs},
year = {2026},
howpublished = {\url{https://huggingface.co/datasets/Dataclusterlabspvtltd/Indian-Vehicle-Dataset}},
note = {Sample subset. Full dataset available for commercial licensing at sales@datacluster.ai}
}
About DataCluster Labs
DataCluster Labs specializes in managed crowd-sourced data collection and annotation — images, videos, audio, text, and surveys — through our Dailydata platform. We deliver custom datasets for computer vision, NLP, and ML use cases, with a strong focus on India-first data that captures the diversity of real-world conditions across the subcontinent.
📧 Sales / Full Dataset Access: sales@datacluster.ai
🌐 Website: datacluster.ai
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