[Python] Object detection in Sequence

I have custom model which is detecting menu item from images. But not in correct order, it picks random not in correct order like in below images. For example, it will detect option 3 first then option 4 and so on, not like option 1 first, then 2, and so on. enter image description here

from PIL import Image

def mainSection(imagePath):
menu_image = Image.open(imagePath)
cropped_images = \[\]
model_1 = YOLO(r"C:\\Users\\saura\\Desktop\\New Model05-07\\model_1.pt")
prediction = model_1.predict(menu_image, verbose=False)
for predicted_image in prediction:
for section in predicted_image.boxes:
x_min, y_min, x_max, y_max, confidence, class_id = section.data\[0\].cpu().numpy()
cropped_image_section = menu_image.crop((x_min, y_min, x_max, y_max))
cropped_images.append(cropped_image_section)

# Sort cropped images based on x_min and y_min coordinates
cropped_images = sorted(cropped_images, key=lambda img: (img.x_min, img.y_min))

return cropped_images

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