How to get the Map 0.5:0.95

[Monday-Leo]

I succesfully run the code and get the correct result. But it can only set the MINOVERLAP = 0.5 or other constant value. Now Map 0.5:0.95 is a very useful accuracy target. So how to modify the code and calculate it ?

[jevenail]

map0.5-0.9：means（0.5、0.55、0.6、0.65、0.7、0.75、0.8、0.85、0.9、0.95）average mAP。
So I think you should calculate map in 0.5,0.55,...0.95 ，and then get mean of these data.

[EdjeElectronics]

Hi @Monday-Leo , I wrote a script that uses the code to calculate COCO mAP score@ 0.50:0.95 . The script runs the main.py code multiple times, setting a new value for MINOVERLAP each time. It collects the results for each run and averages them to get the final mAP score.

Check it out here:
https://github.com/EdjeElectronics/TensorFlow-Lite-Object-Detection-on-Android-and-Raspberry-Pi/blob/master/util_scripts/calculate_map_cartucho.py