Input Basic Mode Settings
The Model Settings tab allows you to tune the model generation to your individual needs. You can specify what parameters you want to predict, the required precision and how fast your model needs to be. For example, if the size of your objects is known, you can tell ONE AI to only predict object positions to save resources. To achieve the best results, you also need to make some estimates about your task, like specifying the expected size of objects or the overall complexity of the task.
We have a guide on choosing the right parameters, which explains the settings using different example tasks. If you're unsure whether your settings are correct, this is a great place to learn more.
Basic Mode Settings
In Basic Mode, the input settings are simplified into four high-level questions that automatically configure the advanced parameters:
Size of Objects or Features: Select the size categories applicable to your dataset (Tiny, Small, Medium, Big). Multiple categories can be selected to define the range. This automatically sets the object width/height estimates.Number of Objects or Features: Specify the feature count (Always one object, A few features, Many features). This controls the maximum and average number of features for classification.Type of Environment: Describe the environment (Controlled, Limited, Natural). This automatically sets Background Difference and Detect Complexity.Type of Objects or Features: Describe the variability (Similar, Limited, Open). This sets Same Class Difference and Detect Complexity.
Need Help? We're Here for You!
Christopher from our development team is ready to help with any questions about ONE AI usage, troubleshooting, or optimization. Don't hesitate to reach out!