This project focuses on predicting saliency maps (human visual attention) from images using deep learning models.

Main aspects of the project include:

• Implementing a model to map input images to continuous-valued saliency maps.
• Training and evaluation on saliency prediction datasets.
• Comparing qualitative saliency maps and quantitative performance across settings.

👉 Full code and detailed description:
Saliency Map Prediction on GitHub