What are the main challenges in image recognition?

What are the main challenges in image recognition?

Some key challenges include variations in lighting, occlusions, and the need for large labeled datasets.

How do occlusions affect image recognition accuracy?

Occlusions can obscure important features, making it difficult for algorithms to correctly identify objects.

What role does data quality play in image recognition?

Data quality is crucial; poor quality images can lead to misclassifications and reduce overall model performance.

Are there any recent advancements that help overcome these challenges?

Yes, techniques like transfer learning and data augmentation have significantly improved image recognition capabilities.

Can you explain transfer learning in simple terms?

Transfer learning involves taking a pre-trained model and fine-tuning it on a new dataset, saving time and resources.