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dbolya / tide

A General Toolbox for Identifying Object Detection Errors
https://dbolya.github.io/tide
MIT License
706 stars 115 forks source link

Even when using the ground truth values as predicted values, there is error. #40

Open abel71 opened 2 years ago

abel71 commented 2 years ago

Hi, First thanks for developing this tool.

Instead of utilizing the model prediction, I tried using a ground truth as both a ground truth and a prediction value. In this case, according to the theory all error should be zero because the predicted and ground truth values are exactly the same. The tool, however, generates some values under Missed error, which is unexpected. I attempted to modify the code by commenting out missed errors, background errors, and other errors. Nonetheless, the tool indicates that there are some Missed errors.

Experiment 1 : predicted values = ground truth image

Experiment 1 :predicted values = model prediction image

Your explanation is highly appreciated.

Thanks

nikky4D commented 1 year ago

Did you get an explanation for this?