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# System prepended metadata

title: TODO

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# TODO
- [x] Send Zheming slides of attention maps and croppings
- [ ] Review Ning's pre-processing
    - [ ] Make figure of ning's model
- [ ] Performance of best model for different datasets
- [x] Set up GitHub with Ning's code
- [ ] Create histogram of quality and confidence level
    - [ ] Use crossing point to suggest cut-off point
    - [ ] Do seperate datasets
    - [ ] One for all
- [ ] Repeat experiment with changing amounts of data
- [x] Add Zheming to Teams
- [ ] Look into callibration step for model
- [ ] Look into building anomaly detection system built on only real images for markets with few fake examples

## Paper
- [ ] survey paper of statistical and deep learning based methods for finding image quality