GPR_LAB Computer Vision Dataset
About GPR_LAB Dataset
Here are a few use cases for this project:
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Mining Safety: In the mining industry, engineers could leverage "GPR_LAB" to identify and classify different steel-rib structures, enhancing safety measures by evaluating the integrity of mine support structures in real-time.
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Construction Quality Assurance: The model could be used in the construction industry to verify the quality and type of steel-ribs used in construction projects, ensuring the structures adhere to safety standards and the outlined project specifications.
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Material Recycling: This model could aid in recycling facilities, distinguishing different kinds of steel-ribs for proper separation and recycling based on their value, size, type, or condition.
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Architectural Planning: "GPR_LAB" can be used by architects and civil engineers for planning structural designs, by assisting in identifying the right type of steel-ribs that are most suitable for specific construction projects.
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Educational Research and Teaching: In universities and training institutions, this model can be employed as a pedagogical tool within Civil Engineering or Architecture programs, helping students understand different types of steel-ribs and their applications in real-world scenarios.
Use Free Steel-rib 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": "steel-rib"
},
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{ gpr_lab_dataset,
title = { GPR_LAB Dataset },
type = { Open Source Dataset },
author = { SMART GIO LAB },
howpublished = { \url{ https://universe.roboflow.com/smart-gio-lab/gpr_lab } },
url = { https://universe.roboflow.com/smart-gio-lab/gpr_lab },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { jun },
note = { visited on 2026-07-29 },
}