In this project, we are going to do classification on the MNIST Double Digits(MNISDD).The MNISTDD dataset contains gray scale images of size 64x64. Each image has two MNIST digits (from 0 to 9) randomly placed inside it like in this visualization:
- Python3
- Tensorflow
- Numpy
| Model | All True Accuracy | One True Accuracy |
|---|---|---|
| LeNet | 79.76% | 96.00% |
| LeNet_ZCA | 74.08% | 95.54% |
| Shallow | 96.72% | 99.74% |
| Shallow_ZCA | 87.36% | 99.8% |
| VGG_Like | 97.7% | 99.88% |
| VGG_Like_ZCA | 98.26% | 100% |
| Author |
|---|
| Chen Jiang |
| Shuyang Li |
| Jennifer Yuen |
| Yanren Qu |