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.2p8tmtsi.ba85f4502171.jpg.2p917692.ingestion-85df674899-6x255.jpg.2rh39v3q

ID: 85027922

beer.2p8ufbsb.ba85f4502171.jpg.2p917781.ingestion-85df674899-czp49.jpg.2rh39vhe

ID: 85027855

beer.2p8tgecv.ba85f4502171.jpg.2p9175jk.ingestion-85df674899-8th5g.jpg.2rh39uef

ID: 85028022

can.2uns61od

ID: 85027601

beer.2p8uemkf.ba85f4502171.jpg.2p9176cl.ingestion-85df674899-8th5g.jpg.2rh39v6k

ID: 85027907

can.2uns6gm2

ID: 85027578

unknown.2p8tmopq.ba85f4502171.jpg.2p917656.ingestion-85df674899-8th5g.jpg.2rh39v16

ID: 85027943

00019.jpg.2uo04a27

ID: 85027530

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

Scan QR code or launch in browser

Launch in browser

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	110,278
No. of clones	479