How can I improve image recognition accuracy?

How can I improve image recognition accuracy?

To improve image recognition accuracy, consider using more diverse training data, optimizing your model architecture, and applying data augmentation techniques.

What specific data augmentation techniques should I use?

You can use techniques like rotation, flipping, scaling, and color adjustment to enhance your training dataset.

How does the choice of model architecture affect accuracy?

Different architectures, like CNNs or transformers, have varying capabilities in feature extraction, which can significantly impact accuracy.

Are there any tools that can help with model optimization?

Yes, tools like TensorFlow Model Optimization Toolkit and Keras Tuner can assist in optimizing your models for better performance.