MJRoBot (Marcelo Rovai) / Box_and_Wheel_Object Detection Public
Target: Raspberry Pi 4 Clone this project

Test data

Set thresholds
Model variants
Test 'Unoptimized (float32)' model Test 'Quantized (int8)' model
Set the 'expected outcome' for each sample to the desired outcome to automatically score the impulse.

Apply filters

Sample name Expected outcome F1 score Result
00040 box, box, box, wheel, wheel, wheel, wheel
Show classification Show in data acquisition Show in feature explorer
00030 wheel, wheel, wheel, wheel
Show classification Show in data acquisition Show in feature explorer
00036 wheel, wheel, wheel
Show classification Show in data acquisition Show in feature explorer
00035 wheel, wheel
Show classification Show in data acquisition Show in feature explorer
00005 box, box
Show classification Show in data acquisition Show in feature explorer
00039 box, box, wheel, wheel, wheel, wheel
Show classification Show in data acquisition Show in feature explorer
00017 box, wheel, wheel, wheel
Show classification Show in data acquisition Show in feature explorer
00000 box
Show classification Show in data acquisition Show in feature explorer
testing.4cc3cbal box, box
Show classification Show in data acquisition Show in feature explorer
testing.4cc3g88e box, box
Show classification Show in data acquisition Show in feature explorer
testing.4cc3hmbv box, box, wheel, wheel
Show classification Show in data acquisition Show in feature explorer
Filter yielded no results, click to adjust the filter

Model testing output

Help & documentation Get help on the forum Send feedback Contact sales
Join us
Terms of Service Privacy policy