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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37995.2u5qnp04

ID: 95783740

37172.2u8b5rch

ID: 95783599

37864.2u5qm900

ID: 95783872

37543.2u8d0o54

ID: 95783594

37591.2u8d0q62

ID: 95783593

37036.2u8b4dgr

ID: 95783665

37942.2u5qn4qj

ID: 95783788

37858.2u5qm6eq

ID: 95783866

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

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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	92,409
No. of clones	379