Detection of fruits disease by using Machine learning
Project description
MahaPala
Detection of fruits disease by using Machine learning
Indentification Of Fruits
Create class to indentify the fruit names tested it for Guava & Mango fruits
- Deep learning algorithm
- adam optimizer
- relu activation
Reference
Model: sequential
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
rescaling (Rescaling) (None, 224, 224, 3) 0
conv2d (Conv2D) (None, 224, 224, 16) 448
max_pooling2d (MaxPooling2 (None, 112, 112, 16) 0
D)
conv2d_1 (Conv2D) (None, 112, 112, 32) 4640
max_pooling2d_1 (MaxPoolin (None, 56, 56, 32) 0
g2D)
conv2d_2 (Conv2D) (None, 56, 56, 64) 18496
max_pooling2d_2 (MaxPoolin (None, 28, 28, 64) 0
g2D)
flatten (Flatten) (None, 50176) 0
dense (Dense) (None, 128) 6422656
dense_1 (Dense) (None, 5) 645
=================================================================
Total params: 6446885 (24.59 MB)
Trainable params: 6446885 (24.59 MB)
Non-trainable params: 0 (0.00 Byte)
_________________________________________________________________
Dashboard
Release Note
2023.12.16
- #9 Create a sample to identify the fruits name
- #11 Implement visualization dashboard
2021.11.01
- #9 Create a sample to identify the fruits name
2020.11.01.dev
- Initial setup and environments
- Added a templete matching algorithm
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