MATSUOKA Takashi / classification_test Public

Target: Espressif ESP-EYE (ESP32 240MHz) 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.

classification_test

Images

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 (47 items)

View all

Stamp.6p0mt2o7

ID: 2893016988

Label: Stamp

Bottle.6p0mrgs0

ID: 2893016979

Label: Bottle

Stamp.6p0msjik

ID: 2893016983

Label: Stamp

Bottle.6p0mq9q9

ID: 2893016968

Label: Bottle

Stamp.6p0mtrkq

ID: 2893017000

Label: Stamp

Bottle.6p0mr0jq

ID: 2893016972

Label: Bottle

Bottle.6p0mrcnf

ID: 2893016977

Label: Bottle

Stamp.6p0msi2m

ID: 2893016982

Label: Stamp

Model accuracy, Impulse #1 (Unoptimized (float32))

View 2 other experiments

Validation set

100.0%

Test set

On-device performance (Espressif ESP-EYE (ESP32 240MHz), Quantized (int8))

Latency

1538 ms.

Peak RAM usage

209.7K

Flash usage

535.8K

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

47 items

Labels

Bottle, Stamp

Project info

Project ID	1004578
License	3-Clause BSD
No. of views	2,219
No. of clones	1