Universe

Cage Wheel Track merger Computer Vision Dataset

bycounthingsTask:
Object Detection
License:CC BY 4.023 views
See all 1.2k imagesCage Wheel Track merger Materials sample showing cage_wheel_trackCage Wheel Track merger Materials sample showing cage_wheel_trackCage Wheel Track merger Materials sampleCage Wheel Track merger Materials sample showing cage_wheel_trackCage Wheel Track merger Materials sample showing cage_wheel_trackCage Wheel Track merger Materials sample showing cage_wheel_trackCage Wheel Track merger Materials sample showing cage_wheel_trackCage Wheel Track merger Materials sample showing cage_wheel_trackCage Wheel Track merger Materials sample showing cage_wheel_trackCage Wheel Track merger Materials sample showing cage_wheel_trackCage Wheel Track merger Materials sampleCage Wheel Track merger Materials sample showing cage_wheel_track

About Cage Wheel Track merger Dataset

Here are a few use cases for this project:

  1. Industrial Automation: The model can be used in a manufacturing setting to help automate the process of identifying and sorting different materials or parts such as cage, wheel, and track - improving efficiency and potentially saving costs.

  2. Recycling Plants: In recycling facilities, it can be implemented to segregate different types of materials. Once identified, the materials can be precisely sorted for recycling, supporting waste management and environmental sustainability.

  3. Construction Site Planning: The model could help identify and classify materials on construction sites. This can help in efficient site management, maintaining the correct quantities of supplies, and reducing waste by enabling more accurate tracking and usage of materials.

  4. Warehouse Management: The application could help in inventory management by identifying, classifying, and keeping track of the quantity of cage, wheel, and track materials. This can lead to efficient supply chain management and cost savings.

  5. E-commerce & Retail: This model could be used to help online platforms in accurately categorizing and recommending products based on customer browsing or buying history. For example, if a customer is looking at cage wheels, the system might suggest tracks or other related items.

Use Free Cage_wheel_track 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": "cage_wheel_track"
  },
  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{ cage-wheel-track-merger_dataset,
  title = { Cage Wheel Track merger Dataset },
  type = { Open Source Dataset },
  author = { counthings },
  howpublished = { \url{ https://universe.roboflow.com/counthings/cage-wheel-track-merger } },
  url = { https://universe.roboflow.com/counthings/cage-wheel-track-merger },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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