[Python] Select box with highest confidence YOLO v11

I have a YOLO v11 model that is predicting a single class from images. In some cases it is misinterpreting the image and predicting multiple of the class in one image while there is only one. I have noticed that the correct one has the highest confidence value. Here is my code for predicting:

results = model([imagepath+imgs[997]]) # return a list of Results objects
for result in results:
boxes = result.boxes

print(boxes.conf.tolist())
print(boxes.data.tolist())

print(boxes)


Here is the relevant output:



The box with 0.8853 confidence shows up as the first entry in the conf tensor but shows up last at the data tensor. How do I choose the box with the highest confidence and find its data?

Continue reading...