Universe

StrawberryYP2018_data Computer Vision Model

byResearch Thesis DatasetsTask:
Object Detection
License:CC BY 4.0324 views15 downloads

How to use the StrawberryYP2018_data 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="strawberryyp2018_data/4")
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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": "Red, Green, Green_small, White"
  },
  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 345 imagesStrawberryYP2018_data Strawberries sample showing Green, Red, WhiteStrawberryYP2018_data Strawberries sample showing Green, Green_small, RedStrawberryYP2018_data Strawberries sampleStrawberryYP2018_data Strawberries sample showing Green, Green_small, RedStrawberryYP2018_data Strawberries sampleStrawberryYP2018_data Strawberries sampleStrawberryYP2018_data Strawberries sampleStrawberryYP2018_data Strawberries sampleStrawberryYP2018_data Strawberries sampleStrawberryYP2018_data Strawberries sample showing Green, Green_small, RedStrawberryYP2018_data Strawberries sampleStrawberryYP2018_data Strawberries sample showing Green_small, Red

About StrawberryYP2018_data Model

Here are a few use cases for this project:

  1. Agricultural Quality Control: The model can be utilized in an agricultural setting to automatically classify and sort strawberries based on their classes (Green_small, Green, Red, White) during harvesting. Farmers can then be informed about when and which strawberries should be harvested for optimum quality.

  2. Food Processing Industry: In the food processing and packaging units, this model can be used to categorize strawberries, which are processed into various products according to their type and maturity phase.

  3. Plant Health Monitoring: The categories can help diagnose the health and growth phase of strawberry plants in a garden or field. This will alert the farmers if there are any growth irregularities at an early stage.

  4. Retail: Grocery stores can utilize this model to maintain quality control and sell strawberries more effectively by identifying and separating strawberries according to their stages of ripeness.

  5. Research and Education: This model can be used for conducting research on strawberry growth cycles, creating a better understanding for developing improved cultivation techniques. An educational program for students of agriculture can also use this model to demonstrate the different stages of strawberry growth.

Cite This Project

LicenseCC BY 4.0

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

@misc{ strawberryyp2018_data_dataset,
  title = { StrawberryYP2018_data Dataset },
  type = { Open Source Dataset },
  author = { Research Thesis Datasets },
  howpublished = { \url{ https://universe.roboflow.com/research-thesis-datasets/strawberryyp2018_data } },
  url = { https://universe.roboflow.com/research-thesis-datasets/strawberryyp2018_data },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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