Vehicle Wheel Detection Computer Vision Dataset
About Vehicle Wheel Detection Dataset
Vehicle Wheel Detection | Axle Detection
Vehicle Wheel Detection | Axle Detection
About Dataset
This dataset is collected by DataCluster Labs. To download full dataset or to submit a request for your new data collection needs, please drop a mail to: [email protected]
This dataset is an extremely challenging set of over 6,000+ images of Vehicle Wheel Detection from multiple locations. These images are captured and crowdsourced from over 2000+ different locations, where each image is manually reviewed and verified by computer vision professionals at Datacluster Labs. It contains a wide variety of of vehicles such as trucks. cars, bikes etc.
Dataset Features
- Dataset size : 6000+ images
- Captured by : Over 2000+ crowdsource contributors
- Resolution : HD and above
- Location : Captured with 2000+ locations
- Diversity : Various lighting conditions like day, night, varied distances, view points etc.
- Device used : Captured using mobile phones in 2020-2022
- Usage : Wheel Detection, Wheel Counting, Object detection
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 [email protected] Visit www.datacluster.ai to know more.
Use Free Wheel, Eight_wheeler and Four_wheeler Detection API
Powered by general detection model
pip install inference-sdk# 1. Import the library
from inference_sdk import InferenceHTTPClient
# 2. Connect to your workspace
client = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
# 3. Run your workflow on an image
result = client.run_workflow(
workspace_name="<YOUR_WORKSPACE>",
workflow_id="<YOUR_WORKFLOW_ID>",
images={
"image": "YOUR_IMAGE.jpg" # Path to your image file
},
parameters={
"classes": "wheel, eight_wheeler, four_wheeler, six_wheeler, two_wheeler"
},
use_cache=True # cache workflow definition for 15 minutes
)
# 4. Get your results
print(result)Run on custom image
Drop an image here or click to upload
Tell the agent what you want to build.
Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ vehicle-wheel-detection_dataset,
title = { Vehicle Wheel Detection Dataset },
type = { Open Source Dataset },
author = { DataCluster Labs },
howpublished = { \url{ https://universe.roboflow.com/datacluster-labs-agryi/vehicle-wheel-detection } },
url = { https://universe.roboflow.com/datacluster-labs-agryi/vehicle-wheel-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { nov },
note = { visited on 2026-07-29 },
}










