ALaM Project
The DOST-Advanced Science and Technology Institute-Automated Labeling Machine (ASTI-ALaM) Project is the DOST-ASTI component of the Philippine Sky Artificial Intelligence Program (SkAI-Pinas). The project aims to develop an optimized workflow in developing machine learning and artificial neural network-based models for different application domains, as well as to develop an online model store where the developed models of the project can be accessed for tasks such as mapping and computer vision using traditional remote sensing, machine learning, and deep learning.
The ASTI – Automated Labeling Machine (ASTI- ALaM) is one of the projects under the Philippine Sky Artificial Intelligence Program (SkAI-Pinas). The Project aims to establish an optimized workflow for developing machine learning and artificial neural network-based models, and an online model store, to host the developed models for usage in different application domains.
The Project intends to promote mapping and other computer vision tasks through application of traditional remote sensing, machine learning, and deep learning methods to be used through the developed model store and in training and optimization of models.
Target applications of the Project include the segmentation of satellite-captured RGB images into several classifications of natural and man-made features (agricultural land, water, buildings, etc.); and the estimation of the structural strength of buildings in satellite-captured images.
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ALaM Project
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