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cryolo_train_general_model [2019/04/19 16:49] twagner |
cryolo_train_general_model [2019/04/19 17:53] twagner |
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Training a model for a specific dataset is very easy with crYOLO. However, you might have multiple data collections of the same particle with different settings, a different camera or another microscope. A model trained on the data of one data collection, might not perform very good on a dataset from another data collection. | Training a model for a specific dataset is very easy with crYOLO. However, you might have multiple data collections of the same particle with different settings, a different camera or another microscope. A model trained on the data of one data collection, might not perform very good on a dataset from another data collection. | ||
- | However, you can easily train a crYOLO model that **generalize** well on data recorded under multiple conditions. To achieve this, all you have to do is to **merge training data** of multiple datasets. The result will be a model that be applied to new dataset from a new data collection without additional training. | + | However, you can easily train a crYOLO model that **generalize** well on data recorded under multiple conditions. To achieve this, all you have to do is to **merge training data** of multiple datasets. The result will be a model that can be applied to a new dataset from a new data collection without additional training. |
Here is our recommendation how to organize the training data. Instead of copying your images and box files directly into '' | Here is our recommendation how to organize the training data. Instead of copying your images and box files directly into '' | ||
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{{ :: | {{ :: | ||
- | The // | + | The // |
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+ | One minor hint: When running the training of a general model, we always use [[http:// |