What are the limits of deep learning in image recognition?

What are the main limitations of deep learning in image recognition?

Deep learning excels in image recognition but has limitations like data dependency, overfitting, and lack of interpretability.

Can deep learning models recognize images without a lot of training data?

Generally, deep learning models require large datasets to perform well. However, techniques like transfer learning can help.

How does overfitting affect image recognition accuracy?

Overfitting occurs when a model learns noise in the training data, leading to poor performance on unseen images.

Are there any ethical concerns with using deep learning for image recognition?

Yes, ethical concerns include privacy issues, bias in training data, and the potential for misuse in surveillance.

What advancements are being made to overcome these limitations?

Researchers are exploring methods like few-shot learning, better data augmentation, and explainable AI to address these challenges.