Torque seal Detection Computer Vision Model
How to use the Torque seal Detection Segmentation API
Try This Model
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Model type: Roboflow 3.0 Instance Segmentation (Accurate)
Dataset: torque-seal-detection-7tmil/6 (956 images)
Checkpoint: torque-seal-detection-7tmil/5
Nov 24, 2025
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="torque-seal-detection-7tmil/6")Give your agent everything it needs
Or, Use Free Objects, Reflection and Torque seal 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": "objects, reflection, torque seal"
},
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 Torque seal Detection Model
extraction of torque seals of various colors, mainly on bolts.
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{ torque-seal-detection-7tmil_dataset,
title = { Torque seal Detection Dataset },
type = { Open Source Dataset },
author = { tes },
howpublished = { \url{ https://universe.roboflow.com/tes-mn6if/torque-seal-detection-7tmil } },
url = { https://universe.roboflow.com/tes-mn6if/torque-seal-detection-7tmil },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2025 },
month = { dec },
note = { visited on 2026-07-29 },
}