Austin / bottles Public

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

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bottles

Object detection

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Data (90 items)

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

ID: 470291114

bottle.43vra05n.ingestion-5d985b9c4-2zlpf

ID: 470291161

bottle.43vraug3.ingestion-5d985b9c4-2zlpf

ID: 470291121

bottle.43vrb332.ingestion-5d985b9c4-2zlpf

ID: 470291090

bottle.43vra047.ingestion-5d985b9c4-jg7s2

ID: 470291126

bottle.43vr7iit.ingestion-5d985b9c4-jg7s2

ID: 470291196

bottle.43vrb9er.ingestion-5d985b9c4-jg7s2

ID: 470291100

bottle.43vrb9op.ingestion-5d985b9c4-pdlgf

ID: 470291097

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	8,730
No. of clones	0