deep-learning

How to Fine-Tune and Deploy a Satellite-Specific LLMs Model for Satellite Images
Fine-tuning a Large Language Models (LLMs) for satellite imagery requires a deep understanding of both theoretical concepts and practical techniques. This blog post will guide you through the process, incorporating mathematical formulations and theoretical explanations to provide a comprehensive view of the fine-tuning and deployment process.
Teerapong Panboonyuen
2024 LLMs, LULC, deep-learning, Satellite Images
REG: Refined Generalized Focal Loss for Road Asset Detection on Thai Highways Using Vision-Based Detection and Segmentation Models
We are pleased to announce that our paper, titled ‘Enhanced REG-Based Object Detection of Road Assets Utilizing Generalized Focal Loss A Case Study on Thai Highway Imagery’, has been accepted for oral presentation at the 5th International Conference on Highway Engineering (iCHE 2024).
Teerapong Panboonyuen
2024 deep-learning, computer-vision, object-detection, instance-segmentation
Generative AI: Current Trends and Practical Applications
A comprehensive exploration of generative AI, including key trends, applications, challenges, and future directions.
Teerapong Panboonyuen
2024 generative-ai, computer-vision, deep-learning, GANs, diffusion-models