Universe

geckler3 Computer Vision Model

byGecklerTask:
Object Detection
License:CC BY 4.014 views

How to use the geckler3 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="geckler3/1")
Give your agent everything it needs

Or, Use Free EHC and WBC 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": "EHC, WBC"
  },
  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 
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About geckler3 Model

Here are a few use cases for this project:

  1. Medical Image Analysis: geckler3 could be used by healthcare professionals, researchers, and medical students to quickly and accurately identify White Blood Cells (WBC) and Erythrocyte-Hemoglobin Concentration (EHC) in clinical images, improving diagnosis and understanding of various blood-related conditions and diseases.

  2. Blood Disorder Diagnosis Support: Implement geckler3 in diagnostic tools to assist doctors in identifying blood disorders, such as anemia or leukemia, by accurately analyzing WBC and EHC levels in blood images, helping with faster and precise diagnosis and treatment.

  3. Biomedical Research: Utilize geckler3 in research laboratories for various biomedical and biotechnological studies to analyze large datasets of blood images, streamlining the process of data collection and analysis by automatically detecting WBC and EHC patterns.

  4. Training and Educational Tool: Integrate geckler3 into educational platforms or applications to help medical and laboratory professionals, as well as medical students, learn and practice the identification of WBC and EHC in blood images, enhancing their skills and knowledge.

  5. Remote Diagnosis Assistance: Employ geckler3 in telemedicine applications, allowing healthcare professionals to remotely access and analyze blood images for the presence of WBC and EHC, aiding in the diagnosis and management of blood-related conditions in areas with limited medical facilities.

Cite This Project

LicenseCC BY 4.0

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

@misc{ geckler3_dataset,
  title = { geckler3 Dataset },
  type = { Open Source Dataset },
  author = { Geckler },
  howpublished = { \url{ https://universe.roboflow.com/geckler/geckler3 } },
  url = { https://universe.roboflow.com/geckler/geckler3 },
  journal = { Roboflow Universe },
  publisher = { Roboflow },
  year = { 2022 },
  month = { oct },
  note = { visited on 2026-07-29 },
}

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