Universe

On Ear Corn Kernel Detection Computer Vision Model

byCorn KernelsTask:
Object Detection
License:CC BY 4.0

How to use the On Ear Corn Kernel Detection Detection API

Try This Model

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Or try a test image 

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="on-ear-corn-kernel-detection/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": "kernel"
  },
  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 
See all 3k imagesOn Ear Corn Kernel Detection kernel sample showing kernelOn Ear Corn Kernel Detection kernel sample showing kernelOn Ear Corn Kernel Detection kernel sample showing kernelOn Ear Corn Kernel Detection kernel sample showing kernelOn Ear Corn Kernel Detection kernel sample showing kernelOn Ear Corn Kernel Detection kernel sample showing kernelOn Ear Corn Kernel Detection kernel sample showing kernelOn Ear Corn Kernel Detection kernel sample showing kernelOn Ear Corn Kernel Detection kernel sample showing kernelOn Ear Corn Kernel Detection kernel sample showing kernelOn Ear Corn Kernel Detection kernel sample showing kernelOn Ear Corn Kernel Detection kernel sample showing kernel

About On Ear Corn Kernel Detection Model

A description for this project has not been published yet.

Cite This Project

LicenseCC BY 4.0

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

@misc{ on-ear-corn-kernel-detection_dataset,
  title = { On Ear Corn Kernel Detection Dataset },
  type = { Open Source Dataset },
  author = { Corn Kernels },
  howpublished = { \url{ https://universe.roboflow.com/corn-kernels/on-ear-corn-kernel-detection } },
  url = { https://universe.roboflow.com/corn-kernels/on-ear-corn-kernel-detection },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2024 },
  month = { sep },
  note = { visited on 2026-07-29 },
}

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