Capstone Project Computer Vision Model

byCapstone Project WorkspaceTask:
Object Detection
License:Public Domain331 views13 downloads

How to use the Capstone Project 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="capstone-project-5bfei/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": "AngularLeafSpot, AnthracnoseFruitRot, BlossomBlight, GrayMold, LeafSpot"
  },
  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 Capstone Project Model

Here are a few use cases for this project:

  1. Agricultural Health Analysis: This model can be used in the agricultural industry to autonomously assess the health of strawberry crops in real-time, ensuring farmers immediately know of any diseases in order to implement effective disease management strategies.

  2. Strawberry Quality Control: The model can be used in food manufacturing or packaging industries for quality control. It can identify strawberry diseases, ensuring only healthy strawberries make it to the consumer market, thus minimizing complaints and returns.

  3. AI Powered Drones for Farming: The model can be employed in drone technology used in large-scale farming. These drones can autonomously scan strawberry fields, identify diseased plants and pinpoint their location, aiding farmers in targeted treatment.

  4. Digital Agro Consultant Tool: This can be used as a feature in an agricultural consulting app. Farmers or garden hobbyists can upload images of their plants to the app and get instant feedback about the plant's health, specific disease and suggested treatments.

  5. Agricultural Research and Development: The model can aid scientists and researchers in collecting data about strawberry diseases, their prevalence, and facilitating the study of their correlation with environmental factors like humidity, temperature etc.

Cite This Project

LicensePublic Domain

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

@misc{ capstone-project-5bfei_dataset,
  title = { Capstone Project Dataset },
  type = { Open Source Dataset },
  author = { Capstone Project Workspace },
  howpublished = { \url{ https://universe.roboflow.com/capstone-project-workspace/capstone-project-5bfei } },
  url = { https://universe.roboflow.com/capstone-project-workspace/capstone-project-5bfei },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { apr },
  note = { visited on 2026-07-29 },
}

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