Edge Impulse Experts / CorrosionDetection Public
Target: Cortex-M4F 80MHz Clone this project

Test data

Set confidence 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
rust.81 rust 100% 1 rust
Show classification Show in data acquisition
rust.70 rust 100% 1 rust
Show classification Show in data acquisition
rust.72 rust 100% 1 rust
Show classification Show in data acquisition
rust.75 rust 100% 1 rust
Show classification Show in data acquisition
rust.67 rust 100% 1 rust
Show classification Show in data acquisition
rust.65 rust 100% 1 rust
Show classification Show in data acquisition
rust.34 rust 100% 1 rust
Show classification Show in data acquisition
rust.13 rust 100% 1 rust
Show classification Show in data acquisition
rust.25 rust 100% 1 rust
Show classification Show in data acquisition
rust.2 rust 100% 1 rust
Show classification Show in data acquisition
norust.71 norust 100% 1 norust
Show classification Show in data acquisition
norust.69 norust 100% 1 norust
Show classification Show in data acquisition
norust.65 norust 100% 1 norust
Show classification Show in data acquisition
norust.63 norust 100% 1 norust
Show classification Show in data acquisition
norust.52 norust 100% 1 norust
Show classification Show in data acquisition
norust.51 norust 100% 1 norust
Show classification Show in data acquisition
norust.29 norust 100% 1 norust
Show classification Show in data acquisition
norust.43 norust 100% 1 norust
Show classification Show in data acquisition
norust.44 norust 100% 1 norust
Show classification Show in data acquisition
norust.30 norust 100% 1 norust
Show classification Show in data acquisition
norust.26 norust 100% 1 norust
Show classification Show in data acquisition
norust.22 norust 100% 1 norust
Show classification Show in data acquisition
norust.20 norust 100% 1 norust
Show classification Show in data acquisition
norust.6 norust 0% 1 rust
Show classification Show in data acquisition
norust.15 norust 100% 1 norust
Show classification Show in data acquisition
norust.0 norust 0% 1 rust
Show classification Show in data acquisition
norust.10 norust 100% 1 norust
Show classification Show in data acquisition
norust.18 norust 100% 1 norust
Show classification Show in data acquisition

Model testing output

Results

Model version:
Accuracy
92.86%

Confusion matrix

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Feature explorer

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