https://github.com/l1ght14/blood_cell_detection_v2

Detects blood cells in images using a YOLOv8 model. Interactive web app built with Gradio and deployed on Hugging Face Spaces.
https://github.com/l1ght14/blood_cell_detection_v2

blood-cell-detection cv deep-learning huggingface-spaces medical-ai object-detection python streamlit ultralytics yolov8

Last synced: 5 months ago
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Detects blood cells in images using a YOLOv8 model. Interactive web app built with Gradio and deployed on Hugging Face Spaces.

• Host: GitHub
• URL: https://github.com/l1ght14/blood_cell_detection_v2
• Owner: l1ght14
• Created: 2025-03-19T13:10:41.000Z (7 months ago)
• Default Branch: master
• Last Pushed: 2025-04-13T10:34:59.000Z (6 months ago)
• Last Synced: 2025-04-13T11:32:42.521Z (6 months ago)
• Topics: blood-cell-detection, cv, deep-learning, huggingface-spaces, medical-ai, object-detection, python, streamlit, ultralytics, yolov8
• Language: Python
• Homepage:
• Size: 19.4 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
---

title: Blood Cell Detection V2

emoji: 📊

colorFrom: pink

colorTo: purple

sdk: gradio

sdk_version: 5.22.0

app_file: app.py

pinned: false

license: mit

---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

## 🔬 Blood Cell Detection (Deployed)

🧠 Model: The project uses Ultralytics YOLOv8 for real-time blood cell detection and classification, trained on labeled microscopic image data.

👉 [Live Demo on Hugging Face](https://huggingface.co/spaces/prakash200314/Blood_cell_detection_v2)