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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S114_006_00000021.png.1vqnl1sq

ID: 17054243

Label: happy

S115_001_00000008.png.1vqni9hm

ID: 17054606

Label: surprise

S014_003_00000030.png.1vqnbq4b

ID: 17054748

Label: anger

S051_002_00000017.png.1vqnibvm

ID: 17054426

Label: surprise

S506_006_00000042.png.1vqnjh44

ID: 17054409

Label: sadness

S125_001_00000013.png.1vqnjhf9

ID: 17054365

Label: sadness

S026_006_00000012.png.1vqnl2lk

ID: 17054185

Label: happy

S135_001_00000039.png.1vqniapr

ID: 17054553

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	30,792
No. of clones	63