GitHub - emmdaz/Plant-Pathology-Classificator: These are two CNN models trained to classificate images from a dataset with different diseased and healthy leaves. One is a usual Conv2D (88.27% acc) and the other is based in a ResNet101 pretained model (84.06% acc).

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Name		Name	Last commit message	Last commit date
Latest commit History 44 Commits
Models		Models
Trials		Trials
Plant-Pathology-Classificator-Conv2D-Filter.ipynb		Plant-Pathology-Classificator-Conv2D-Filter.ipynb
Plant-Pathology-Classificator-Conv2D-ResNet101-ImageNet-Based-Model.ipynb		Plant-Pathology-Classificator-Conv2D-ResNet101-ImageNet-Based-Model.ipynb

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These are two CNN models trained to classificate images from a dataset with different diseased and healthy leaves. One is a usual Conv2D (88.27% acc) and the other is based in a ResNet101 pretained model (84.06% acc).

wandb.ai/emmdaz-zzz/Plant-Pathology-Classificator-Models?nw=nwuseremmdaz