Zin / Steel Defect Classification Public

Target: Arduino Portenta H7 (Cortex-M7 480MHz) 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.

Steel Defect Classification

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 (1,573 items)

View all

img_07_3403335800_00900.jpg.2u4in0lc

ID: 83161338

Label: welding_line

img_06_432235600_01054.jpg.2u4imvag

ID: 83161389

Label: welding_line

img_07_4404613900_01090.jpg.2u4in157

ID: 83161317

Label: welding_line

img_03_SIS001540_00794.jpg.2u4iodlk

ID: 83161026

Label: water_spot

img_06_4404997500_01006.jpg.2u4imvup

ID: 83161367

Label: welding_line

img_06_3403397400_00907.jpg.2u4ikkgt

ID: 83161587

Label: punching_hole

img_06_4403068400_01288.jpg.2u4imvr7

ID: 83161371

Label: welding_line

img_06_425502300_01397.jpg.2u4ijptk

ID: 83161897

Label: oil_spot

Model accuracy (Unoptimized (float32))

Validation set

80.3%

Test set

On-device performance (Arduino Portenta H7 (Cortex-M7 480MHz), Quantized (int8))

Latency

610 ms.

Peak RAM usage

2.6M

Flash usage

2.9M

Run this model

On any device

Clone project

Dataset summary

Data collected

1,573 items

Labels

crescent_gap, inclusion, oil_spot, punching_hole, waist_folding, water_spot, welding_line

Project info

Project ID	87224
Project version	1
License	BSD 3-Clause Clear
No. of views	10,076
No. of clones	8