Kevin Richmond / Image Classifier: Cutlery (grayscale) Public

Target: Cortex-M4F 80MHz Clone this project

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Image Classifier: Cutlery (grayscale)

MobileNet V2 Transfer Learning model to classify 96x96 cutlery images in grayscale.

Images

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Data (300 items)

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background 52

ID: 96843200

Label: background

fork 30

ID: 96843167

Label: fork

fork 17

ID: 96843266

Label: fork

fork 53

ID: 96843153

Label: fork

spoon 57

ID: 96843068

Label: spoon

knife 25

ID: 96843234

Label: knife

spoon 12

ID: 96843222

Label: spoon

background 75

ID: 96843177

Label: background

Model accuracy (Unoptimized (float32))

Validation set

93.9%

Test set

82.1%

On-device performance (Cortex-M4F 80MHz, Quantized (int8))

Latency

1898 ms.

Peak RAM usage

346.6K

Flash usage

585.7K

Run this model

On any device

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Dataset summary

Data collected

300 items

Labels

background, fork, knife, spoon

Project info

Project ID	96938
Project version	1
License	No license attached
No. of views	35,043
No. of clones	10