Aspergillus-YOLO Computer Vision Model

byHiranurs WorkspaceTask:
Object Detection
License:CC BY 4.0

How to use the Aspergillus-YOLO 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="aspergillus-yolo/2")
Give your agent everything it needs

Or, Use Free Aspergillus and Single-Label Detection API

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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": "aspergillus, Single-Label"
  },
  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 Aspergillus-YOLO Model

This process involves the localization and classification of Aspergillus species using bounding box annotations in the YOLO framework

Cite This Project

LicenseCC BY 4.0

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

@misc{ aspergillus-yolo_dataset,
  title = { Aspergillus-YOLO Dataset },
  type = { Open Source Dataset },
  author = { Hiranurs Workspace },
  howpublished = { \url{ https://universe.roboflow.com/hiranurs-workspace/aspergillus-yolo } },
  url = { https://universe.roboflow.com/hiranurs-workspace/aspergillus-yolo },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2026 },
  month = { mar },
  note = { visited on 2026-07-29 },
}

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