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About Dataset This dataset is collected by DataCluster Labs. To download the full dataset or to submit a request for your new data collection needs, please drop a mail to: sales@datacluster.ai

This dataset is an extremely challenging set of over 500+ originally Truck tanker images captured and crowdsourced from over 200+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs.

Dataset Features

Dataset size: 500+
Captured by: Over 100+ crowdsource contributors
Resolution: 100% images HD and above (1920x1080 and above)
Location: Captured with 200+ cities across India
Diversity: Various lighting conditions like day, night, varied distances, view points, etc.
Device used: Captured using mobile phones in 2022-2023

Potential Applications:

Traffic Scene Understanding Autonomous Vehicle Perception Object Detection Vehicle Classification

Available Annotation formats COCO, YOLO, PASCAL-VOC, Tf-Record

The images in this dataset are exclusively owned by Data Cluster Labs and were not downloaded from the internet. To access a larger portion of the training dataset for research and commercial purposes, a license can be purchased. Contact us at sales@datacluster.ai Visit www.datacluster.ai to know more.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            truck-tanker-dataset_dataset,
                            title = { Truck Tanker Dataset Dataset },
                            type = { Open Source Dataset },
                            author = { DataCluster Labs },
                            howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/truck-tanker-dataset } },
                            url = { https://universe.roboflow.com/datacluster-labs-agryi/truck-tanker-dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { may },
                            note = { visited on 2024-06-30 },
                            }