Demo Org Inc / Beer vs. cans FOMO Public

Target: Cortex-M4F 80MHz Clone this project

Welcome to Edge Impulse, the largest community of edge AI developers!
This is a public Edge Impulse project, use the navigation bar to see all data and models in this project; or clone to retrain or deploy to any edge device.

Beer vs. cans FOMO

Object detection

About this project

This public Edge Impulse project does not have a README yet. Clone this project to add new data or retrain this project, or to deploy this project to a device.

Data (524 items)

View all

can.2uns6fp1

ID: 85027585

00004.jpg.2uo04a35

ID: 85027522

beer.2p8uf779.ba85f4502171.jpg.2p91772s.ingestion-85df674899-czp49.jpg.2rh39vfj

ID: 85027860

beer.2p8uem6b.ba85f4502171.jpg.2p9176ck.ingestion-85df674899-6x255.jpg.2rh39v54

ID: 85027916

unknown.2p9jjhp3.ingestion-5c67c696c-bvvj6.jpg.2rh39vo9

ID: 85027811

beer.2p8tga69.ba85f4502171.jpg.2p9175le.ingestion-85df674899-czp49.jpg.2rh39uf2

ID: 85028018

unknown.2p9jjhue.ingestion-5c67c696c-4l4c4.jpg.2rh39vod

ID: 85027822

can.2unsm6va

ID: 85027556

Model accuracy (Unoptimized (float32))

Validation set

96.4%

Test set

91.7%

On-device performance (Cortex-M4F 80MHz, Quantized (int8))

Latency

601 ms.

Peak RAM usage

243.9K

Flash usage

77.6K

Run this model

On any device

Clone project

Dataset summary

Data collected

524 items

Labels

beer, can

Project info

Project ID	89078
Project version	2
License	BSD 3-Clause Clear
No. of views	73,186
No. of clones	390