Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...
Imager is a specialized utility developed to automate the manual bottleneck of gathering image datasets. Unlike traditional scraping methods that struggle with JavaScript-heavy sites, Imager leverages ...
As shown below, the inferred masks predicted by our segmentation model trained on the dataset appear similar to the ground truth masks, but they lack precision in certain areas. Concrete structures ...
Abstract: The present paper investigates the application of TensorFlow Lite to deploy the Convolutional Neural Network on Rasberry Pi for real-time image classification, considering specifically the ...
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