Millistel juhtudel on vaja valida backbones ja millal saab kasutada ResNet50?

The choice between using a ready-made backbone, such as ResNet50, and creating your own depends on the task and model requirements.

When to use ResNet50:

• If the task is related to image recognition and is similar to those for which ResNet50 was trained.
• When development speed and good accuracy are important without deep tuning.
• In cases of limited resources for training from scratch.

When to develop your own backbone:

• If the task is specific and requires a special architecture (e.g., processing medical images or non-standard data).
• When you need to optimize the model for specific hardware constraints (mobile devices, embedded systems).
• If you want to improve quality through customization of architecture and training from scratch or fine-tuning.

Thus, ResNet50 is a good starting point and a basic backbone, while creating your own is justified in cases with specific requirements and the need for maximum optimization.