# Which model should I use?

In the Graphical Configuration Page, you can choose different models depending on your needs.

This wiki page tries to help you on which model to select. For more technical/deeper explanations have a look on Neural-Network-Types.

## Digit Models

For digits on water meters, gas-meters or power meters you can select between two main types of models.

### dig-class11

This model can recognize full digits. All intermediate states shown a "N" for not a number. But in post process it uses older values to fill up the "N" values if possible.

#### Main features

- well suited for LCD digits
- with the ExtendedResolution option is not supported. (Only in conjunction with ana-class100 / ana-cont)

### dig-class100 / dig-cont

These models are used to get a continuous reading with intermediate states. To see what the models are doing, you can go to the Recognition page.

#### Main features

- suitable for all digit displays.
- Advantage over dig-class11 that results continue to be calculated in the transition between digits.
- With the ExtendedResolution option, higher accuracy is possible by adding another digit.

Look here for a list of digit images used for the training

#### dig-class100 vs. dig-cont

The difference is in the internal processing. Take the one that gives you the best results.

## Analog pointer models

### ana-class100 / ana-cont

For pointers on water meters use the analog models. You can only choose between ana-class100 and ana-cont. Both do mainly the same.

#### Main features

- for all analogue pointers, especially for water meters.
- With the ExtendedResolution option, higher accuracy is possible by adding another digit.

Look here for a list of pointer images used for the training

#### ana-class100 vs. ana-cont

The difference is in the internal processing. Take the one that gives you the best results. Both models learn from the same data.

GitHub « Previous Next »