Universe

pallet detection Computer Vision Dataset

bytestTask:
Object Detection
License:CC BY 4.0
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About pallet detection Dataset

Here are a few use cases for this project:

  1. Warehouse Management: The model can help automate the detection and counting of pallets in a warehouse. This could facilitate inventory management and space utilization.

  2. Logistics and Supply Chain: With the ability to identify pallets, the model could improve efficiency in loading and unloading procedures in transports, presenting real-time data on the number of pallets in transit.

  3. Safety Regulations: The model can help ensure safety regulations are being adhered to by detecting and alerting when pallets are stacked improperly or exceeding safe heights.

  4. Waste Management: The model could be used to identify wooden pallets at recycling facilities or landfills to enhance sorting and recycling efforts.

  5. Retail Stores: The model can play a pivotal role in managing back-of-store operations - tracking the arrival, usage, and emptying of pallets.

Use Free Pallet and \ 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": "pallet, \"
  },
  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{ pallet-detection-ith6b-ytig9_dataset,
  title = { pallet detection Dataset },
  type = { Open Source Dataset },
  author = { test },
  howpublished = { \url{ https://universe.roboflow.com/test-29t7t/pallet-detection-ith6b-ytig9 } },
  url = { https://universe.roboflow.com/test-29t7t/pallet-detection-ith6b-ytig9 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2026 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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