Datasets:

Dataclusterlabspvtltd
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Construction_Vehicle_Images_Trucks_Tractor

Error code:   FeaturesError
Exception:    FileNotFoundError
Message:      [Errno 2] No such file or directory: '<datasets.utils.file_utils.FilesIterable object at 0x7f60aa807590>'
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 4379, 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 2661, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2839, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2377, 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 0x7f60aa807590>'

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Construction Vehicles Dataset (Tractor & Truck) — Sample

⚠️ This is a free sample subset for evaluation purposes only.
The full dataset (20,000+ HD images) is available for commercial licensing.
Contact: sales@datacluster.ai · datacluster.ai

Dataset Summary

This dataset is an extremely challenging collection of original construction vehicle images, crowdsourced from over 600 urban and rural areas. Every image is manually reviewed and verified by computer vision professionals at DataCluster Labs.

Optimized for Generative AI, Visual Question Answering, Image Classification, and LMM development, this dataset provides a strong basis for robust model performance in construction and vehicle detection tasks.

Dataset Features (Full Dataset)

Feature	Detail
Dataset size	20,000+ images
Captured by	1,000+ crowdsource contributors
Resolution	100% HD and above (1920x1080+)
Location	600+ cities across India
Diversity	Day, night, varied distances, viewpoints
Device	Mobile phones, captured 2020–2022
Usage	Construction site object detection, workplace safety monitoring, self-driving systems
Ownership	Exclusively owned by DataCluster Labs — not scraped from the internet

Classes

tractor
truck

Sample vs. Full Dataset

	Sample (this repo)	Full Dataset
Images	Small representative subset	20,000+
Annotation formats	Pascal VOC (XML)	COCO, YOLO, Pascal VOC, TF-Record
Resolution	HD and above	HD and above (1920x1080+)
Commercial use	❌ Not permitted	✅ With license
Redistribution	❌ Not permitted	Per license terms

To license the full dataset: sales@datacluster.ai

Dataset Structure

construction-vehicles-sample/
├── images/
│   ├── tractor/
│   │   ├── img001.jpg
│   │   └── ...
│   └── truck/
│       ├── img001.jpg
│       └── ...
└── annotations/
    └── voc/
        ├── tractor/
        │   ├── img001.xml
        │   └── ...
        └── truck/
            ├── img001.xml
            └── ...

Each XML file contains bounding-box annotations in Pascal VOC format, with filenames matching their corresponding image.

Data Collection

Source: Crowdsourced original photography — not downloaded from the internet
Contributors: 1,000+ crowdsource contributors across India
Conditions: Day, night, varied lighting, distances, and viewpoints
Use cases: Construction site object detection, workplace safety monitoring, autonomous/self-driving systems, generative AI, VQA, LMM training

How to Use

Download

huggingface-cli download <org-name>/construction-vehicles-sample --repo-type dataset --local-dir ./construction-vehicles-sample

Or clone directly:

git lfs install
git clone https://huggingface.co/datasets/<org-name>/construction-vehicles-sample

Convert VOC to YOLO or COCO

from pylabel import importer

# VOC → YOLO
dataset = importer.ImportVOC(path="annotations/voc/tractor")
dataset.export.ExportToYoloV5(output_path="annotations/yolo/tractor")

# VOC → COCO
dataset.export.ExportToCoco(output_path="annotations/coco/tractor_annotations.json")

License

This sample dataset is released under a restricted commercial-sample license — see the LICENSE file in this repository.

Key points:

✅ Free to download and evaluate
✅ Free for academic research with attribution
❌ No commercial use without a license from DataCluster Labs
❌ No redistribution or re-upload
❌ No use in training commercial ML models

The images are exclusively owned by DataCluster Labs. To access the full dataset for research or commercial purposes, a license can be purchased.

Contact: sales@datacluster.ai

Citation

@misc{datacluster_construction_vehicles_sample,
  title        = {Construction Vehicles Dataset (Tractor & Truck) — Sample},
  author       = {DataCluster Labs},
  year         = {2026},
  howpublished = {\url{https://huggingface.co/datasets/<org-name>/construction-vehicles-sample}},
  note         = {Sample subset. Full dataset (20,000+ images) 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.

📧 Sales / Full Dataset Access: sales@datacluster.ai
🌐 Website: datacluster.ai

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