Open jkbdnj opened 5 days ago
NOTE: When selecting a CNN architecture, I am also limited by the architectures provided by keras that are pre-trained on Imagenet dataset: https://keras.io/api/applications/.
The most promising CNN model is the: EfficientNetB0.
NOTE: Typical transfer learning workflow + fine-tuning: https://keras.io/guides/transfer_learning/#the-typical-transferlearning-workflow.
There is also no need to resize the images in the datset because they have already been resized oto 256 256 pixels. The EfficientNetB0 has the spatial input dimensionality of 256 256 pixels.
Task description
Create a script that would use to train a CNN to classify diseases from plant leaf images. The important things to consider are: