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== Bearing Fault Datasets ''by Flanders Make'' ==
== Bearing Fault Datasets ''by Flanders Make'' ==
* [https://wiki.ai-redgio50.s5labs.eu/index.php?title=Bearing_Fault_Datasets#Relevant_Categories Bearing Fault Datasets]
* [https://wiki.ai-redgio50.s5labs.eu/index.php?title=Bearing_Fault_Datasets Bearing Fault Datasets]
 
== D2P Toolbox ''by Flanders Make'' ==
* [https://wiki.ai-redgio50.s5labs.eu/index.php?title=D2P_Toolbox D2P Toolbox]

Revision as of 08:29, 3 October 2025

A compilation of tools and resources that can help you kickstart your Industry 5.0 journey.

Quality Control in Industry with CV and TinyML by ExpertAI

FPGA Device Plugin by GRADIANT

XuILVQ: A River Implementation of the Incremental Learning Vector Quantization for IoT by GRADIANT

Data Analysis Dashboard by SCCH

Energy Usage Dataset and Model by PBN

Fabric Defects Dataset by Katty Fashion

Fashion Product Defects Dataset by Katty Fashion

SmartSpot IoT Device by Libelium / HOPU

Labelled Force/Torque Time Series from Robotic Wheel Assembly Dataset by CTU

Anomaly Detection in Force/Torque Time Series From Delta Robot by CTU

Orthogonal Views Extractor from STEP File by TXT

Orthogonal Views Extractor from STEP File - PythonOCC Version by TXT

Image Colour Count wih Python by TXT

Bearing Fault Datasets by Flanders Make

D2P Toolbox by Flanders Make