Automated Optical Inspection (AOI) [1] is a high-speed and high-precision optical image inspection system that uses machine vision as the standard inspection technology to improve the shortcomings of traditional manual inspection using optical instruments.
In the training process I use the single CNN models using Efficient Net. I change the epochs and learning rate of the model manually, I don't use an automatic learning rate at the time.
- Here we use the data from Industrial Technology Research Institute - Aidea to classify the defect. Unzip the file, it includes:
- train_images.zip： 2528 images.
- test_images.zip：10142 images.
- train.csv：two columns, ID and Label respectively.
- test.csv：two columns, ID and Label respectively.
- ID is for the name of the png file. Label is for the class (0: normal, 1: void, 2: horizontal defect, 3: vertical defect, 4: edge defect, 5: particle)
- Create a folder. Put the file inside the floder. And create
- Train_image
- Test_image
- Run the py file.
99.45745 % in accuracy (27th)
https://aidea-web.tw/topic/285ef3be-44eb-43dd-85cc-f0388bf85ea4?lang=en
Asia University Taiwan - AI Summer Program 2023
Aidea