EVN-Object-Detection Computer Vision Model
How to use the EVN-Object-Detection Detection API
Try This Model
Drop an image here or click to upload
Or try a test image
Model type: evn-object-detection-9-rfdetr-small-t1
Dataset: evn-object-detection/9 (9231 images)
Model ID: my-workspace-j75em/evn-object-detection-9-rfdetr-small-t1
Jul 3, 2026
Code Snippets
from inference_sdk import InferenceHTTPClient
CLIENT = InferenceHTTPClient(
api_url="https://serverless.roboflow.com",
api_key="API_KEY"
)
result = CLIENT.infer("YOUR_IMAGE.jpg", model_id="my-workspace-j75em/evn-object-detection-9-rfdetr-small-t1")Give your agent everything it needs
Or, Use Free Insulator, DamageInsulator and Power-Pole 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": "Insulator, DamageInsulator, Power-Pole, VegetationCautious, VegetationCritical"
},
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
About EVN-Object-Detection Model
An AI-powered UAV inspection system that automatically detects defects on power transmission lines from aerial images, helping reduce manual inspection time, improve accuracy, and enhance infrastructure maintenance.
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{ evn-object-detection_dataset,
title = { EVN-Object-Detection Dataset },
type = { Open Source Dataset },
author = { My Workspace },
howpublished = { \url{ https://universe.roboflow.com/my-workspace-j75em/evn-object-detection } },
url = { https://universe.roboflow.com/my-workspace-j75em/evn-object-detection },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2026 },
month = { jul },
note = { visited on 2026-07-29 },
}