Corrosion Instance Segmentation Computer Vision Dataset
About Corrosion Instance Segmentation Dataset
The provided dataset comprises a collection of images depicting corrosion, along with corresponding annotations in instance segmentation format. Each image in the dataset showcases instances of corrosion occurring on various surfaces. The annotations within the dataset accurately delineate the boundaries of individual corroded areas within each image. This dataset serves as a valuable resource for developing and evaluating instance segmentation models specifically tailored for corrosion detection tasks.
Use Free Corrosion and Corrosion 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, corrosion"
},
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{ corrosion-instance-segmentation-sfcpc-1yuxj_dataset,
title = { Corrosion Instance Segmentation Dataset },
type = { Open Source Dataset },
author = { Failure },
howpublished = { \url{ https://universe.roboflow.com/failure-sjoo6/corrosion-instance-segmentation-sfcpc-1yuxj } },
url = { https://universe.roboflow.com/failure-sjoo6/corrosion-instance-segmentation-sfcpc-1yuxj },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { jun },
note = { visited on 2026-07-29 },
}