Universe

wheat Computer Vision Dataset

byInkyu SaTask:
Object Detection
License:CC BY 4.0215 views10 downloads
See all 3.4k imageswheat wheat sample showing 0-0wheat wheat sample showing 0-0wheat wheat sample showing 0-0wheat wheat sample showing 0-0wheat wheat sample showing 0-0wheat wheat sample showing 0-0wheat wheat sample showing 0-0wheat wheat sample showing 0-0wheat wheat sample showing 0-0wheat wheat sample showing 0-0wheat wheat sample showing 0-0wheat wheat sample showing 0-0

About wheat Dataset

deepNIR: Dataset for generating synthetic NIR images and improved fruit detection system using deep learning techniques

This page introduces our Wheat dataset (Bounding box) imported from deepFruits dataset and used for producing results. if this dataset is helpful for your research or application, please do consider to cite our paper as follow;

@Article{s22134721,
AUTHOR = {Sa, Inkyu and Lim, Jong Yoon and Ahn, Ho Seok and MacDonald, Bruce},
TITLE = {deepNIR: Datasets for Generating Synthetic NIR Images and Improved Fruit Detection System Using Deep Learning Techniques},
JOURNAL = {Sensors},
VOLUME = {22},
YEAR = {2022},
NUMBER = {13},
ARTICLE-NUMBER = {4721},
URL = {https://www.mdpi.com/1424-8220/22/13/4721},
PubMedID = {35808218},
ISSN = {1424-8220},
DOI = {10.3390/s22134721}
}

You can download our published paper from:

https://www.mdpi.com/1424-8220/22/13/4721

Please contact us if you have questions, suggestions, or concerns to [email protected]

Use Free 0-0 and 1 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": "0-0, 1"
  },
  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 

Cite This Project

LicenseCC BY 4.0

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

@misc{ wheat-uebbn_dataset,
  title = { wheat Dataset },
  type = { Open Source Dataset },
  author = { Inkyu Sa },
  howpublished = { \url{ https://universe.roboflow.com/inkyu-sa-e0c78/wheat-uebbn } },
  url = { https://universe.roboflow.com/inkyu-sa-e0c78/wheat-uebbn },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { jul },
  note = { visited on 2026-07-29 },
}

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