Louis Moreau / Face detection - FOMO - Embedded Online Conference Public

Target: Arduino Portenta H7 (Cortex-M7 480MHz) Clone this project

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Face detection - FOMO - Embedded Online Conference

Object detection

About this project

Face detection using FOMO

This project is using a subset of the FFHQ dataset.

The model has been trained on 96x96 greyscale images

Data (406 items)

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37006.2u87ma4f

ID: 95783725

37999.2u5qnnoj

ID: 95783737

37930.2u5qn6pl

ID: 95783780

37062.2u8b4b30

ID: 95783672

37024.2u87obv9

ID: 95783711

37674.2u5qm5rd

ID: 95783873

37106.2u8b52p0

ID: 95783633

37094.2u8b54d1

ID: 95783631

Model accuracy, Image data, Image, Object Detection (Images) #3 (Clone of version #2) (Unoptimized (float32))

View 2 other experiments

Validation set

77.6%

Test set

53.4%

On-device performance (Arduino Portenta H7 (Cortex-M7 480MHz), Quantized (int8))

Latency

45 ms.

Peak RAM usage

240.0K

Flash usage

63.6K

Run this model

On any device

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Dataset summary

Data collected

406 items

Labels

face

Project info

Project ID	96468
Project version	1
License	BSD 3-Clause Clear
No. of views	60,209
No. of clones	320