Butterfly, Larvae and Pupae Defects Detection
by modes it
1. Retail
2. Association Mining
2.1. Butterflies Dataset
2.2. Gathering of eggs
2.3. Gathering of pupae
2.4. Season
2.4.1. Seasonal
2.4.2. Consistent
3. AutoML Vision
3.1. Labeling and Organizing Data
3.2. Training
3.3. Evaluating
3.4. Predicting
3.5. Testing the model
4. Image Recognition
4.1. Pupae/Cocoon
4.1.1. Pupae Defects Detection
4.2. Butterfly
4.3. Moth
4.4. Image Fruit
5. Agriculture
5.1. Farming
5.1.1. Host Plants
5.1.2. Flowers
6. Breeder
6.1. Breed butterflies
7. Market
7.1. Online
8. Convolutional Neural Network
8.1. Convolution
8.1.1. Assembled had three convolution layers
8.2. Pooling
8.2.1. Nonlinear capacities to actualize pooling
8.3. Dropout
8.3.1. Approaching and active edges to a dropped-out
8.4. Dense
8.4.1. Numerical task on two capacities
9. Color Matching
9.1. Blob Filtering / Mass Sifting
9.2. Thresholding
9.3. Shape Detection
9.3.1. Pupa Defects Detection
10. Azure ML
10.1. Prepare
10.1.1. Butterfly Data set