PXL Pose Estimation Computer Vision Dataset
About PXL Pose Estimation Dataset
A description for this project has not been published yet.
Use Free 1000ul_tipbox_eppendof, 1000ul_tipbox_thermo and 200ul_tipbox_thermo 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": "1000ul_tipbox_eppendof, 1000ul_tipbox_thermo, 200ul_tipbox_thermo, 20ul_tipbox_thermo, ependof"
},
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
Roboflow Agent
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{ pxl-pose-estimation_dataset,
title = { PXL Pose Estimation Dataset },
type = { Open Source Dataset },
author = { Alex Yermolovych },
howpublished = { \url{ https://universe.roboflow.com/alex-yermolovych/pxl-pose-estimation } },
url = { https://universe.roboflow.com/alex-yermolovych/pxl-pose-estimation },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { jul },
note = { visited on 2026-07-29 },
}