Kracozebr / GrowersBrainsML

Plant Disease Detection (GrowersBrainsML)

Problem Definition

The user to be able to take a picture of their plant leaf and have detecting any possible disease from that.

Tools we are using

• FastAI - For Data Reading & Preprocessing & Training DL Model
• FastAPI - For wrapping the DL Model into an API an send it to Backend Team

About the Code & Implementation

Data

The Dataset has over 38 Different Classes and 87k RGB image. And Below if my implementation -

• Used Color Images ( 3 Channel )
• No Data Argumentation
• Data Notmalisation
• Batch Size = 100
• Training 90%, Validation 10%

Model

The model is Resnet 18 (Paper).

Training

With Training the model for 1 epoch, took 16 minutes in single Tesla P100 GPU (I use Kaggle Kernel ), with accuracy as metrics

• Training Loss = 0.118667
• Validation Loss = 0.066453
• Accuracy = 0.977258

License

Distributed under the Apache License 2.0. See LICENSE for more information.