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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37944.2u5qn5ho

ID: 95783781

37576.2u8d1bcd

ID: 95783564

37890.2u5qml2g

ID: 95783831

37098.2u8b51th

ID: 95783635

37992.2u5qnskc

ID: 95783721

37451.2u8d0n8m

ID: 95783605

37607.2u8d1aom

ID: 95783568

37063.2u8b4bjf

ID: 95783668

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	56,707
No. of clones	292