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VoxNet

Classification of ModelNet40 and ModelNet10 dataset using VoxNet

Install / Use

/learn @catotac/VoxNet
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

VoxNet

Classification of ModelNet40 and ModelNet10 dataset using VoxNet

3DConvNet

Setup

3D Convolution -> 3D Max Pooling -> Flatten -> Dense(40)
Loss function: Categorical crossentropy
Optimizer: Adadelta

Model

Trained for 500 epochs with a voxel resolution of 32 and augmentation of models:

Test loss 0.8196212050666833
Test accuracy: 0.8745421393841167

Related Skills

View on GitHub
GitHub Stars4
CategoryDevelopment
Updated6mo ago
Forks1

Languages

Python

Security Score

62/100

Audited on Sep 27, 2025

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