Rooftops Classification and Solar Installation Acceleration using Deep Learning
July 29th, 2021

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 More

Tags: , , ,

Applying CNNs To Images For Computer Vision And Text For NLP
June 11th, 2021

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 More

Tags: , ,

Deep Learning Pipeline for Image Segmentation & Laser Weed Removal
May 20th, 2021

  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 More

Tags: , , ,

Optimization of Edge based Inference Pipeline for Weed Control
May 7th, 2021

  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 More

Tags: , , ,

Denoising Images: How to Use Autoencoders to Produce Clearer Images
April 4th, 2021

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

Read More

Tags: , ,