Kevin Richmond / Image Classifier: Cutlery (grayscale) Public
Target: Cortex-M4F 80MHz Clone this project

Test data

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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.

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Sample name Expected outcome Accuracy Result
spoon 68 spoon 100% 1 spoon
Show classification Show in data acquisition Show in feature explorer
spoon 56 spoon 100% 1 spoon
Show classification Show in data acquisition Show in feature explorer
spoon 66 spoon 100% 1 spoon
Show classification Show in data acquisition Show in feature explorer
spoon 58 spoon 100% 1 spoon
Show classification Show in data acquisition Show in feature explorer
spoon 48 spoon 100% 1 spoon
Show classification Show in data acquisition Show in feature explorer
spoon 36 spoon 100% 1 spoon
Show classification Show in data acquisition Show in feature explorer
spoon 46 spoon 100% 1 spoon
Show classification Show in data acquisition Show in feature explorer
spoon 38 spoon 100% 1 spoon
Show classification Show in data acquisition Show in feature explorer
spoon 28 spoon 100% 1 spoon
Show classification Show in data acquisition Show in feature explorer
spoon 26 spoon 100% 1 spoon
Show classification Show in data acquisition Show in feature explorer
knife 68 knife 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
knife 66 knife 0% 1 fork
Show classification Show in data acquisition Show in feature explorer
knife 58 knife 100% 1 knife
Show classification Show in data acquisition Show in feature explorer
knife 56 knife 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
knife 48 knife 100% 1 knife
Show classification Show in data acquisition Show in feature explorer
knife 46 knife 100% 1 knife
Show classification Show in data acquisition Show in feature explorer
knife 36 knife 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
knife 28 knife 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
knife 38 knife 100% 1 knife
Show classification Show in data acquisition Show in feature explorer
knife 26 knife 100% 1 knife
Show classification Show in data acquisition Show in feature explorer
fork 68 fork 0% 1 knife
Show classification Show in data acquisition Show in feature explorer
fork 66 fork 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
fork 56 fork 100% 1 fork
Show classification Show in data acquisition Show in feature explorer
fork 58 fork 100% 1 fork
Show classification Show in data acquisition Show in feature explorer
fork 48 fork 100% 1 fork
Show classification Show in data acquisition Show in feature explorer
fork 46 fork 100% 1 fork
Show classification Show in data acquisition Show in feature explorer
fork 36 fork 100% 1 fork
Show classification Show in data acquisition Show in feature explorer
fork 38 fork 100% 1 fork
Show classification Show in data acquisition Show in feature explorer
fork 26 fork 100% 1 fork
Show classification Show in data acquisition Show in feature explorer
fork 28 fork 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
background 68 background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background 66 background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background 38 background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background 58 background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background 56 background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background 36 background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background 48 background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background 46 background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background 26 background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background 28 background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
spoon 16 spoon 0% 1 fork
Show classification Show in data acquisition Show in feature explorer
spoon 18 spoon 100% 1 spoon
Show classification Show in data acquisition Show in feature explorer
spoon 8 spoon 100% 1 spoon
Show classification Show in data acquisition Show in feature explorer
spoon 6 spoon 100% 1 spoon
Show classification Show in data acquisition Show in feature explorer
knife 8 knife 100% 1 knife
Show classification Show in data acquisition Show in feature explorer
knife 6 knife 100% 1 knife
Show classification Show in data acquisition Show in feature explorer
knife 18 knife 100% 1 knife
Show classification Show in data acquisition Show in feature explorer
knife 16 knife 100% 1 knife
Show classification Show in data acquisition Show in feature explorer
fork 16 fork 100% 1 fork
Show classification Show in data acquisition Show in feature explorer
fork 8 fork 100% 1 fork
Show classification Show in data acquisition Show in feature explorer
fork 18 fork 0% 1 uncertain
Show classification Show in data acquisition Show in feature explorer
fork 6 fork 100% 1 fork
Show classification Show in data acquisition Show in feature explorer
background 18 background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background 16 background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background 8 background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
background 6 background 100% 1 background
Show classification Show in data acquisition Show in feature explorer
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Model testing output

Results

Model version:
Accuracy
82.14%

Confusion matrix

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Feature explorer

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