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

unknown.2p9l8cdl.ingestion-5c67c696c-f9kg7.jpg.2rh3a02m

ID: 85027764

beer.2p8tglqq.ba85f4502171.jpg.2p9175is.ingestion-85df674899-czp49.jpg.2rh39uec

ID: 85028023

00002.jpg.2uo04a2c

ID: 85027526

unknown.2p8tmm08.ba85f4502171.jpg.2p91763u.ingestion-85df674899-6x255.jpg.2rh39uut

ID: 85027951

unknown.2p8tmr2c.ba85f4502171.jpg.2p91765p.ingestion-85df674899-8th5g.jpg.2rh39uvt

ID: 85027942

can.2uns6689

ID: 85027603

can.2uns5u8o

ID: 85027614

unknown.2p9jjgg9.ingestion-5c67c696c-f9kg7.jpg.2rh39vo5

ID: 85027823

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	85,005
No. of clones	421