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README.md
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Dataset adaptation to YOLO format from https://www.kaggle.com/code/luisolazo/leaf-detection-w-ultralytics-yolov8-and-tflite
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## Examples
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Dataset adaptation to YOLO format from https://www.kaggle.com/code/luisolazo/leaf-detection-w-ultralytics-yolov8-and-tflite
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## Usage
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```python
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from ultralytics import YOLO
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import cv2
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import matplotlib.pyplot as plt
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# Load the YOLO model
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model = YOLO('yolo11x_leaf.pt')
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# Run inference on an image or directory
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result = model.predict('file/directory', task="detect", save=False, conf=0.15)
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# Load the original image
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image_path = result.path
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image = cv2.imread(image_path)
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image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
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# Annotate the image with predictions
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annotated_image = result.plot()
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# Display the annotated image
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plt.figure(figsize=(10, 7))
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plt.imshow(annotated_image)
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plt.axis("off")
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plt.title(f"Predictions for Image")
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plt.show()
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```
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## Examples
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