Identifing disease types in images of rice grown in Egypt.
# Microsoft-Rice-Disease-Classification-Challenge
*Identifing disease types in images of rice grown in Egypt.*
I used two different approaches for this challange.
* Fastai
* Pythorch Lightning
**Fastai approach** ~ 0.042 9th place in private LB
The file `fastai.ipynb` has this approach and It goes though all the processes starting from loading the data. I used different pretrained models from Vision transformer, Convnext and Swin-Transformer. all the models are found in here. For all the models a size of 224x224 and only the RGB images are used.
**Lightning approach** ~0.056 in private LB
The file `lightning.ipynb` has this approach. In this approach in addition to the fastai approach I tried to use the RGN images also but it didn't go well. here a single model with different folds prediction method is used. I haven't yet finshed the experment yet.
Please Leave a⭐️ to my repo, if u find it useful😊