leaf-detection

YOLOv11 Model for Plant Leaves Detection

This is a YOLOv11 model trained for detecting plant leaves.

Model Details

• Framework: Ultralytics YOLO
• Classes: Leaf
• Usage: Designed for agriculture applications.

Dataset

Training dataset from https://www.kaggle.com/datasets/alexo98/leaf-detection

Dataset adaptation to YOLO format from https://www.kaggle.com/code/luisolazo/leaf-detection-w-ultralytics-yolov8-and-tflite

Usage

from ultralytics import YOLO
import cv2
import matplotlib.pyplot as plt

# Load the YOLO model
model = YOLO('yolo11x_leaf.pt')

# Run inference on an image or directory
result = model.predict('file/directory', task="detect", save=False, conf=0.15)

# Load the original image
image_path = result.path
image = cv2.imread(image_path)
image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)

# Annotate the image with predictions
annotated_image = result.plot()

# Display the annotated image
plt.figure(figsize=(10, 7))
plt.imshow(annotated_image)
plt.axis("off")
plt.title(f"Predictions for Image")
plt.show()

Examples