Austin / bottles Public

Target: Arduino Nano 33 BLE Sense (Cortex-M4F 64MHz) Clone this project

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bottles

Object detection

About this project

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Data (90 items)

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bottle.43vr893j.ingestion-5d985b9c4-jg7s2

ID: 470291174

bottle.43vraun4.ingestion-5d985b9c4-jg7s2

ID: 470291115

bottle.43vr8j66.ingestion-5d985b9c4-jg7s2

ID: 470291178

bottle.43vra54p.ingestion-5d985b9c4-pdlgf

ID: 470291141

bottle.43vragob.ingestion-5d985b9c4-pdlgf

ID: 470291110

bottle.43vra0iq.ingestion-5d985b9c4-pdlgf

ID: 470291168

bottle.43vrb9u1.ingestion-5d985b9c4-jg7s2

ID: 470291089

bottle.43vra38v.ingestion-5d985b9c4-2zlpf

ID: 470291150

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

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Dataset summary

Data collected

90 items

Labels

bottle

Project info

Project ID	247987
Project version	1
License	Apache 2.0
No. of views	8,349
No. of clones	0