Icon

Asphalt Crack Detection with CNNs

Questo workflow permette di riconoscere, in una sequenza di immagini etichettate, quelle di strade in cui sono presenti buche sull'asfalto (cracked), da quelle che invece non ne hanno (non-cracked).

URL: Asphalt Crack Detection with CNNs https://www.kaggle.com/code/abrahamanderson/asphalt-crack-detection-with-cnns
URL: Asphalt Crack Detection with CNNs (e KNIME Analytics Platform) https://datasciencefacile.altervista.org/2024/04/01/asphalt-crack-detection-with-cnns-e-knime-analytics-platform/

List filespresentiAssociaclasseOrdinamentoPreleva il 100%delle immaginiconversioneclass in numero80/20output >= 0.5 crackedoutput < 0.5 non-crackedFiltro colonned'interesse64x64x3Filter 32,32Kernel 3,3strides 1,1ReLUPool Size 2,2strides 2,2Pool Size 2,2strides 2,2FlattenUnit 128ReLUSigmoidApprendimentoPredizioneScoreScritturaModelloCreo envpyTorchCarico immaginiList Files/Folders Path to String Rule Engine Sorter Row Sampling Rule Engine Partitioning Rule Engine Column Filter Keras Input Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Max Pooling2D Layer Keras Flatten Layer Keras Dense Layer Keras Dense Layer Keras NetworkLearner Keras NetworkExecutor Scorer (JavaScript) Keras NetworkWriter Conda EnvironmentPropagation Python Script(legacy) List filespresentiAssociaclasseOrdinamentoPreleva il 100%delle immaginiconversioneclass in numero80/20output >= 0.5 crackedoutput < 0.5 non-crackedFiltro colonned'interesse64x64x3Filter 32,32Kernel 3,3strides 1,1ReLUPool Size 2,2strides 2,2Pool Size 2,2strides 2,2FlattenUnit 128ReLUSigmoidApprendimentoPredizioneScoreScritturaModelloCreo envpyTorchCarico immaginiList Files/Folders Path to String Rule Engine Sorter Row Sampling Rule Engine Partitioning Rule Engine Column Filter Keras Input Layer Keras Convolution2D Layer Keras Max Pooling2D Layer Keras Max Pooling2D Layer Keras Flatten Layer Keras Dense Layer Keras Dense Layer Keras NetworkLearner Keras NetworkExecutor Scorer (JavaScript) Keras NetworkWriter Conda EnvironmentPropagation Python Script(legacy)

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: falai
Created at: 2024-02-17
On NodePit since: 2024-04-01
Last update: 2026-01-27
Created with KNIME version: v5.2.3
Tags: Asphalt crack detectionCNNPyTorch

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!