Universe

Malaria Computer Vision Dataset

byCleev ProjectsTask:
Object Detection
License:CC BY 4.034 views1 download
See all 591 imagesMalaria RBC sampleMalaria RBC sample showing RBCMalaria RBC sample showing RBCMalaria RBC sample showing RBCMalaria RBC sampleMalaria RBC sample showing RBCMalaria RBC sample showing RBCMalaria RBC sample showing RBCMalaria RBC sampleMalaria RBC sample showing RBCMalaria RBC sample showing RBCMalaria RBC sample showing RBC

About Malaria Dataset

Here are a few use cases for this project:

  1. Medical Research: Scientists and researchers can use the "Malaria" model to identify different RBC classes, assisting in precise malaria research, studying the effects of malaria on red blood cell morphology, and developing new treatments or vaccines.

  2. Automated Diagnosis in Hospitals: The model could be used in hospitals as a first pass diagnostic tool for malaria. It can evaluate patients' blood sample images quickly, saving time in diagnosis and allowing for faster prescription of treatment.

  3. Public Health Initiatives: Public health organizations could use the model to monitor and assess malaria prevalence in certain areas. This data could help these organizations better allocate their resources and devise effective strategies to handle malaria outbreaks.

  4. Education and Training: This model can be used as an educational tool for medical students and practitioners. It can help them learn about different RBC classes and the effects of malaria on these cells.

  5. Pharmaceutical Companies: This model could be utilised during the drug development process for anti-malarial drugs. The effects of prospective drugs on infected RBCs could be observed and analyzed, accelerating the process and improving drug efficacy.

Use Free RBC 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": "RBC"
  },
  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{ malaria-rsaiq_dataset,
  title = { Malaria  Dataset },
  type = { Open Source Dataset },
  author = { Cleev Projects },
  howpublished = { \url{ https://universe.roboflow.com/cleev-projects/malaria-rsaiq } },
  url = { https://universe.roboflow.com/cleev-projects/malaria-rsaiq },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2023 },
  month = { feb },
  note = { visited on 2026-07-29 },
}

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