TYPE 1 - P - 10 Computer Vision Dataset
About TYPE 1 - P - 10 Dataset
Detect scaffolding pipes, plates,... If you use this dataset please cite as:
Cite this Project If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ cbscountthings_dataset, title = { Scaffold Dataset from Joined HPCLAB and CBS VietNam Ltd. }, type = { Open Source Dataset }, author = { Quang-Hung NGUYEN, Kim-Anh NGUYEN, Van-Anh NGUYEN, NAM Thoai and CBS Vietnam Team Ltd. }, howpublished = { \url{ https://app.roboflow.com/hpclab-cj0fx/cbscountthings/ } }, url = { https://app.roboflow.com/hpclab-cj0fx/cbscountthings/ }, journal = { Roboflow Universe }, publisher = { Roboflow }, year = { 2022 }, month = { nov }, note = { Only for non-commercial }, }
Use Free TYPE 1 - P10 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": "TYPE 1 - P10"
},
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{ type-1-p-10_dataset,
title = { TYPE 1 - P - 10 Dataset },
type = { Open Source Dataset },
author = { CountThings Type 1 },
howpublished = { \url{ https://universe.roboflow.com/countthings-type-1/type-1-p-10 } },
url = { https://universe.roboflow.com/countthings-type-1/type-1-p-10 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { mar },
note = { visited on 2026-07-29 },
}







