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models

List of pre-trained models with sample outputs

  1. Frogs 64 x 64 v1
  2. Frogs 64 x 64 v2
  3. Frogs 64 x 64 v3

Frogs 64 x 64 v1 Model

This model was trained with the following parameters:

Resolution Seed Train epochs Batch size Lr Dropout Noise Augmentations
64 x 64 127423 25 64 0.0002 0% 0% Mirror

Sample:

Sample 64 x 64

Frogs 64 x 64 v2 Model

This model was trained with the following parameters:

Resolution Seed Train epochs Batch size Lr Dropout Noise Augmentations
64 x 64 127423 25 128 0.0002 0% 0% Mirror

Sample:

Sample 64 x 64

Frogs 64 x 64 v3 Model

This model was trained with the following parameters:

Resolution Seed Train epochs Batch size Lr Dropout Noise Augmentations
64 x 64 127423 50 128 0.0001 0% 0% Mirror + Rotate (0, 15, 30, 45)

Sample:

Sample 64 x 64

Frogs 128 x 128 v1 Model

This model was retrained many times and i forgot the pipeline

Sample:

Sample 128 x 128

Frogs 128 x 128 v1 Model

Trained on 512xc512 images

Sample:

Sample many x many