What is wrong with my Precision-Recall curve? Hi,
I found this:
https://github.com/rafaelpadilla/Object-Detection-Metrics
I prepared my data: ground-truth and prediction files with bounding boxes.
but I got a very strange plot. What do you thing?
Overall the performance of the model is very low, since precision and recall can be up to 1.
Since model performance is low, it will be sensitive to noise resulting in erratic behavior.