Louis Moreau / Face detection - FOMO - bigger dataset Public

Face detection - FOMO - bigger dataset

Object detection

About this project

Face detection using FOMO

FOMO-Faces.png

Want to see a deeper explanation about FOMO and a live demo? See Arm AI Tech Talk about FOMO

Dataset Information

This project is using a subset of the FFHQ dataset where the bounding boxes have been labeled manually by Edge Impulse team.

Sensor & Block Information

  • Camera module with input images 96 x 96 pixels
  • Image block to normalize the image data, and keep the color depth to RGB
  • FOMO transfer learning block based on MobileNetV2 0.35

Interested in adding object detection capabilities to your constrained edge devices? Clone this project to build an object detection project to detect cans and bottles on the tiniest of devices!

Read more on our announcement blog to find out more about FOMO and to learn how to build your object detection project, from data collection to deployment on embedded devices.

face.3333l8ng.ingestion-6547c9496d-b75xr
37041.2u8b417e
37925.2u5qn2er
37939.2u5qn53r
37064.2u8b4b1h
37999.2u5qnnoj
face.3333kti5.ingestion-6547c9496d-24l9r
37951.2u5qnalg

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Dataset summary

Data collected
517 items
Labels
face

Project info

Project ID 116394
Project version 2
License BSD 3-Clause Clear
No. of views 25,890
No. of clones 120