cotton Computer Vision Model

byrapeTask:
Object Detection
License:CC BY 4.0

How to use the cotton Detection API

Try This Model

Drop an image here or click to upload

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="cotton-20xz5-p2ms1/1")
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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": "G-arboreum, G-barbadense, G-herbaceum, G-hirsitum"
  },
  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 cotton Model

This dataset was originally created by Roopa Shree, Shriya J. To see the current project, which may have been updated since this version, please go here: https://universe.roboflow.com/cotton-nqp2x/bt-cotton.

This dataset is part of RF100, an Intel-sponsored initiative to create a new object detection benchmark for model generalizability.

Access the RF100 Github repo: https://github.com/roboflow-ai/roboflow-100-benchmark

Cite This Project

LicenseCC BY 4.0

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

@misc{ cotton-20xz5-p2ms1_dataset,
  title = { cotton Dataset },
  type = { Open Source Dataset },
  author = { rape },
  howpublished = { \url{ https://universe.roboflow.com/rape/cotton-20xz5-p2ms1 } },
  url = { https://universe.roboflow.com/rape/cotton-20xz5-p2ms1 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2026 },
  month = { may },
  note = { visited on 2026-07-29 },
}

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