Austin / bottles Public

Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) 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.

bottles

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 (90 items)

View all

bottle.43vraub8.ingestion-5d985b9c4-jg7s2

ID: 470291122

bottle.43vraqp7.ingestion-5d985b9c4-2zlpf

ID: 470291136

bottle.43vr8r12.ingestion-5d985b9c4-pdlgf

ID: 470291166

bottle.43vra54p.ingestion-5d985b9c4-pdlgf

ID: 470291141

bottle.43vr7f32.ingestion-5d985b9c4-jg7s2

ID: 470291192

bottle.43vrb2io.ingestion-5d985b9c4-2zlpf

ID: 470291101

bottle.43vrb9er.ingestion-5d985b9c4-jg7s2

ID: 470291100

bottle.43vrb992.ingestion-5d985b9c4-pdlgf

ID: 470291087

Model accuracy (Unoptimized (float32))

Validation set

100.0%

Test set

95.5%

On-device performance (Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz), Quantized (int8))

Latency

365 ms.

Peak RAM usage

113.7K

Flash usage

58.7K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

90 items

Labels

bottle

Project info

Project ID	247987
Project version	1
License	Apache 2.0
No. of views	8,945
No. of clones	0