Evan / Pipeline Leak Detection 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.

Pipeline Leak Detection

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 (107 items)

View all

capture1688165740.96

ID: 361653873

Label: good

capture1688165738.32

ID: 361653878

Label: good

capture1688165707.03

ID: 361653918

Label: defect

capture1688165737.66

ID: 361653881

Label: good

capture1688165708.03

ID: 361653917

Label: defect

capture1688165737.99

ID: 361653876

Label: good

capture1688165743.62

ID: 361653865

Label: good

capture1688165702.37

ID: 361653926

Label: defect

Model accuracy (Unoptimized (float32))

Validation set

100.0%

Test set

77.3%

On-device performance (Cortex-M4F 80MHz, Unoptimized (float32))

Latency

1551 ms.

Peak RAM usage

947.8K

Flash usage

1.6M

Run this model

Scan QR code or launch in browser

Launch in browser

Dataset summary

Data collected

107 items

Labels

defect, good

Project info

Project ID	247142
Project version	1
License	Apache 2.0
No. of views	2,845
No. of clones	3