In this article, we will go through the process of commercial rooftops classification using Deep Learning methods. And accelerate the installation of solar energy in North America, as a part of Omdena’s challenge with EnergyTech startup. A walkthrough in understan
Read MoreTags: Data Labeling, Remote Sensing, Rooftop Detection, Satellite Imagery
Convolutional Neural Networks (CNNs, ConvNets) have become crucial in artificial intelligence. These networks are reputable for excellently capturing spatial and dependency information in matrices (images, sentences), while effectively reducing their sizes without disca
Read MoreTags: Convolutional Neural Networks, Deep Learning, Neural Networks
A Crop vs Weed Segmentation on the edge pipeline, in order to improve the model performance that identifies weed from crops in images, we used different image segmentation techniques. Here we present a walkthrough of the preprocessing and pipelining for the Semantic
Read MoreTags: Agriculture, Computer Vision, Deep Learning, Image Segmentation
This article captures, the optimizations explored for the AI-enabled edge-based weed controller on Nvidia Jetson Xavier AGX. The experiments include TensorRT quantization, calibrations, benchmarking of inference pipeline based on YolactEdge, Bonnetal models, and
Read MoreTags: Computer Vision, Deep Learning, Edge, Neural Networks
In this article, we take you into a friendly approach to denoising images and Denoising Autoencoders (DAEs), their architecture, their importance in deep learning models, how to use them with neural networks, and how they improve models’ results. Authors: M
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