Vehicle Wheel Detection Computer Vision Dataset

byDataCluster LabsTask:
Object Detection
License:CC BY 4.0303 views7 downloads

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

  1. Dataset size : 6000+ images
  2. Captured by : Over 2000+ crowdsource contributors
  3. Resolution : HD and above
  4. Location : Captured with 2000+ locations
  5. Diversity : Various lighting conditions like day, night, varied distances, view points etc.
  6. Device used : Captured using mobile phones in 2020-2022
  7. 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

Code
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

Detecting classes:
Or try a test image 

Cite This Project

LicenseCC BY 4.0

If 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 },
}

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