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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S056_003_00000008.png.1vqnibk4

ID: 17054452

Label: surprise

S050_002_00000017.png.1vqnibvo

ID: 17054433

Label: surprise

S066_005_00000011.png.1vqnc3lq

ID: 17054720

Label: anger

S098_004_00000015.png.1vqnl0ea

ID: 17054317

Label: happy

S061_002_00000015.png.1vqnl2ln

ID: 17054189

Label: happy

S117_006_00000010.png.1vqncbvp

ID: 17054688

Label: anger

S130_001_00000017.png.1vqniaoh

ID: 17054565

Label: surprise

S076_001_00000017.png.1vqniatt

ID: 17054483

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

Run this model

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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	25,329
No. of clones	57