We are sharing in this repository the training, evaluation, and deployment scripts for well-known lightweight object detection models (YOLO ... deep learning models on resource-constrained IoT devices ...

Abstract: The Internet of Things (IoT ... objects on the images. The machine learning algorithms recognise on the landscape images two type of objects classes: agave plants and stones. We use a ...

Abstract: IoT devices ... fusion using Random Forest Regression (RFR), AdaBoost Regression (ABR), and XGBoost Regression (XGBR), as well as Deep Learning (DL)based fusion. These techniques integrate ...

This project provides a workflow for Training Computer Vision models with Synthetic Data. We will use Isaac Sim with Omniverse Replicator to generate data for our use case and objects of interest. To ...

Utilizing Edge Impulse for advanced object detection, the system ensures operational safety ... Note: For this guide, we’ll connect a smartphone using the QR code method. Use your smartphone to ...

But adding another object ... process using GPT-4o and NVIDIA TAO to train TinyML models for microcontrollers. However, researchers at jevois.org have managed to do something even more impressive with ...