détection de corrosion f Computer Vision Model
How to use the détection de corrosion f Detection API
Try This Model
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Model type: Roboflow 2.0 Object Detection (Fast)
Dataset: detection-de-corrosion-f/6 (128 images)
Checkpoint: detection-de-corrosion-f/1
May 26, 2023
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="detection-de-corrosion-f/6")Give your agent everything it needs
Or, Use Free Corrosion uniforme de surface, La corrosion caverneuse and La corrosion filiforme 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": "corrosion uniforme de surface, la corrosion caverneuse, la corrosion filiforme, la corrosion intergranulaire, la corrosion sous tension"
},
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 détection de corrosion f Model
A description for this project has not been published yet.
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Cite This Project
LicenseCC BY 4.0If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{ detection-de-corrosion-f_dataset,
title = { détection de corrosion f Dataset },
type = { Open Source Dataset },
author = { dernire version },
howpublished = { \url{ https://universe.roboflow.com/dernire-version-vmot0/detection-de-corrosion-f } },
url = { https://universe.roboflow.com/dernire-version-vmot0/detection-de-corrosion-f },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2026-07-29 },
}