Bike Analog Odometer Dataset Computer Vision Project
Updated a year ago
Bike Odometer Dataset | Analog Odometer Dataset
2000+ images of Bike Odometers | Bike Odometer Reading Detection
About Dataset
This dataset is collected by DataCluster Labs, India. To download 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 2000+ original Fire and Smoke images captured and crowdsourced from over 500+ urban and rural areas, where each image is manually reviewed and verified by computer vision professionals at DC Labs.
Dataset Features
Dataset size : 2000+
Captured by : Over 500+ crowdsource contributors
Resolution : 99% images HD and above (1920x1080 and above)
Location : Captured with 300+ cities accross India
Diversity : Various lighting conditions like day, night, varied distances, view points etc.
Device used : Captured using mobile phones in 2021-2022
Usage : Odometer Reading, Odometer Reading for Insurance, Distance Travelled Detection, etc.
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{
bike-analog-odometer-dataset-ik9ip_dataset,
title = { Bike Analog Odometer Dataset Dataset },
type = { Open Source Dataset },
author = { DataCluster Labs },
howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/bike-analog-odometer-dataset-ik9ip } },
url = { https://universe.roboflow.com/datacluster-labs-agryi/bike-analog-odometer-dataset-ik9ip },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { sep },
note = { visited on 2025-03-21 },
}
