Detection of fruits disease by using Machine learning
Create class to indentify the fruit names tested it for Guava & Mango fruits
- Deep learning algorithm
- adam optimizer
- relu activation
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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)
_________________________________________________________________
- #9 Create a sample to identify the fruits name
- #11 Implement visualization dashboard
- #9 Create a sample to identify the fruits name
- Initial setup and environments
- Added a templete matching algorithm