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ANNs pre-trained on Retinal Waves

<p>Different Artificial Neural Networks (saved weights), some only pre-trained either on rwave-1024 or rwave-4096 or FractalDB1000 datasets; some fine-tuned or trained from scratch (pt_none_ft... or pt__ft... or ...scratch...) on CIFAR10/100 or ImageNet1k.</p><p>Retinal Waves for Pre-Training Artificial Neural Networks&nbsp;Mimicking Real Prenatal Development - see&nbsp;https://github.com/BennyCa/ReWaRD for filter visualization and further fine-tuning possibilities</p><p>Pre-training and fine-tuning was conducted using the codebase https://github.com/hirokatsukataoka16/FractalDB-Pretrained-ResNet-PyTorch</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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