Inspiration
I've always wanted to make an image classifier and I thought this would be the perfect change to.
What it does
An image classifier that identifies if grapes have Black Rot, ESCA, Leaf Blight or a healthy.
How we built it
Using tensorflow and EfficientNet I trained the model on a dataset provided by Kaggle
Challenges we ran into
First time making an image classifer and 2nd time ever using ML, there was a signficiant learning curve, getting the model to recognize the data, and preprocessing the images.
Accomplishments that we're proud of
Honestly everything.
What we learned
Honestly everything.
What's next for GrapeGuard
trying it with not "fake" data but real world.
Built With
- amazon-web-services
- keras
- python
- tensorflow
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