Dhruv Sheth / Emotion Recognition Public

Target: Cortex-M4F 80MHz Clone this project

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Emotion Recognition

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About this project

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Data (801 items)

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S014_002_00000014.png.1vqnjhd6

ID: 17054375

Label: sadness

S078_001_00000033.png.1vqniatr

ID: 17054487

Label: surprise

S042_006_00000016.png.1vqnl2gn

ID: 17054195

Label: happy

S132_002_00000016.png.1vqnjhd1

ID: 17054383

Label: sadness

S108_005_00000020.png.1vqnjhhn

ID: 17054355

Label: sadness

S068_003_00000013.png.1vqniav4

ID: 17054499

Label: surprise

S106_002_00000015.png.1vqnjhi1

ID: 17054344

Label: sadness

S052_001_00000015.png.1vqnibvj

ID: 17054435

Label: surprise

Model accuracy (Unoptimized (float32))

Validation set

97.6%

Test set

95.2%

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

Latency

5767 ms.

Peak RAM usage

297.0K

Flash usage

577.8K

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Dataset summary

Data collected

801 items

Labels

anger, contempt, fear, happy, sadness, surprise

Project info

Project ID	20136
Project version	1
License	No license attached
No. of views	27,092
No. of clones	59