Swathi / Mobile_Net Public
Target: ST IoT Discovery Kit (Cortex-M4F 80MHz) 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.
Sample name Expected outcome Accuracy Result
SevereG4 (183) Severe
Show classification Show in data acquisition
SevereG4 (175) Severe
Show classification Show in data acquisition
SevereG4 (17) Severe
Show classification Show in data acquisition
SevereG4 (182) Severe
Show classification Show in data acquisition
SevereG4 (160) Severe
Show classification Show in data acquisition
SevereG4 (150) Severe
Show classification Show in data acquisition
SevereG4 (146) Severe
Show classification Show in data acquisition
SevereG4 (159) Severe
Show classification Show in data acquisition
SevereG4 (141) Severe
Show classification Show in data acquisition
SevereG4 (140) Severe
Show classification Show in data acquisition
SevereG4 (128) Severe
Show classification Show in data acquisition
SevereG4 (138) Severe
Show classification Show in data acquisition
SevereG4 (135) Severe
Show classification Show in data acquisition
SevereG4 (123) Severe
Show classification Show in data acquisition
SevereG4 (12) Severe
Show classification Show in data acquisition
SevereG4 (107) Severe
Show classification Show in data acquisition
SevereG4 (109) Severe
Show classification Show in data acquisition
SevereG4 (104) Severe
Show classification Show in data acquisition
SevereG4 (101) Severe
Show classification Show in data acquisition
ModerateG3 (96) Moderate
Show classification Show in data acquisition
ModerateG3 (94) Moderate
Show classification Show in data acquisition

Model testing output

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