Abdallah Hammad

بعد أكاديمية كاوست

Abdallah won second place at two datathons in autumn 2024 (the Dal Developmental Datathon and the Elm GenAI Datathon), graduated in computer science from Prince Sattam bin Abdulaziz University, and returned to KAUST Academy as a teaching assistant for the AI program. As of October 2026, Abdallah works at Entropy.

المشروع الصيفي

تخصص الذكاء الاصطناعي · دفعة 2024

Lightweight Model for Saliency Prediction

Salient object detection (SOD) focuses on identifying the most visually prominent parts of an image, typically those that stand out due to distinct colors. In our project, we present a straightforward SOD method that leverages color separation to enhance feature extraction. This technique reduces computational demands while maintaining high performance, making it ideal for resource-constrained devices. Despite the simplicity and lightweight nature of our model, we achieved results that surpass expectations.

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