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

beer.2p8tgvgq.ba85f4502171.jpg.2p917602.ingestion-85df674899-8th5g.jpg.2rh39uq5

ID: 85027973

unknown.2p9jjlth.ingestion-5c67c696c-bvvj6.jpg.2rh39vsf

ID: 85027797

beer.2p8uetha.ba85f4502171.jpg.2p9176p1.ingestion-85df674899-8th5g.jpg.2rh39vbk

ID: 85027883

unknown.2rh4k0is

ID: 85027718

can.2uns57gc

ID: 85027673

unknown.2p8tmr9j.ba85f4502171.jpg.2p917666.ingestion-85df674899-czp49.jpg.2rh39v1f

ID: 85027931

00007.jpg.2uo04a32

ID: 85027515

can.2uns5q58

ID: 85027627

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	81,208
No. of clones	413