Universe

cn0099-1d Computer Vision Model

byDOE1V1Task:
Object Detection
License:CC BY 4.01 view

How to use the cn0099-1d Detection API

Try This Model

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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="cn0099-1d/7")
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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": "CN0099-01D"
  },
  use_cache=True  # cache workflow definition for 15 minutes
)

# 4. Get your results
print(result)

Run on custom image

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Detecting classes:
Or try a test image 
See all 1.2k imagescn0099-1d casted-products sample showing CN0099-01Dcn0099-1d casted-products sample showing CN0099-01Dcn0099-1d casted-products sample showing CN0099-01Dcn0099-1d casted-products samplecn0099-1d casted-products sample showing CN0099-01Dcn0099-1d casted-products sample showing CN0099-01Dcn0099-1d casted-products sample showing CN0099-01Dcn0099-1d casted-products sample showing CN0099-01Dcn0099-1d casted-products sample showing CN0099-01Dcn0099-1d casted-products samplecn0099-1d casted-products sample showing CN0099-01Dcn0099-1d casted-products sample showing CN0099-01D

About cn0099-1d Model

This project aims to detect objects from different casted products. The first step is to detect the casted product and achieve an accuracy of 0.8.

Cite This Project

LicenseCC BY 4.0

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{ cn0099-1d_dataset,
  title = { cn0099-1d Dataset },
  type = { Open Source Dataset },
  author = { DOE1V1 },
  howpublished = { \url{ https://universe.roboflow.com/doe1v1/cn0099-1d } },
  url = { https://universe.roboflow.com/doe1v1/cn0099-1d },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { aug },
  note = { visited on 2026-07-29 },
}

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