Update README.md

README.md

@@ -1,22 +1,32 @@
 ---
+language: en
+license: apache-2.0
+library_name: ultralytics
 tags:
-  - yolo11
+  - yolov8
   - object-detection
-library_name: ultralytics
+  - computer-vision
+  - medical-imaging
 pipeline_tag: object-detection
+inference: true
 ---
 
-# YOLO11 Malaria Detection Model
+# Malaria Detection YOLOv8 Model
 
-This model is trained to detect malaria parasites in blood smear images using YOLO11.
+This model detects malaria parasites in blood smear images using YOLOv8.
 
-# Model Card
+## Model Details
+- Type: Object Detection
+- Architecture: YOLOv8
+- Task: Malaria Parasite Detection
 
-## Model Description
-- **Task:** Object Detection
-- **Model Architecture:** YOLOv8
-- **Training Data:** Blood smear images with malaria parasites
-- **Input:** Blood smear microscopy images
-- **Output:** Bounding boxes around detected parasites
+## Usage
+"""
+#python
 
-## Usage
+from ultralytics import YOLO
+#Load model
+model = YOLO('fbononibelloepoch/malaria-detection')
+#Perform inference
+results = model('image.jpg')
+"""