Labeling_v2 Computer Vision Dataset
About Labeling_v2 Dataset
A description for this project has not been published yet.
Use Free Front Battery, Front View Label and Side View label 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": "Front Battery, Front View Label, Side View label, Top Battery, Top View label"
},
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{ labeling_v2_dataset,
title = { Labeling_v2 Dataset },
type = { Open Source Dataset },
author = { test },
howpublished = { \url{ https://universe.roboflow.com/test-vqriv/labeling_v2 } },
url = { https://universe.roboflow.com/test-vqriv/labeling_v2 },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { mar },
note = { visited on 2026-07-29 },
}