Frontiers

Cumulative confidence-driven task offloading for object detection in maritime Internet of Things

Maritime mobile edge computing (MMEC) technology facilitates the deployment of computationally intensive object detection tasks on Maritime Internet of Things (MIoT) devices with limited computing ...
Frontiers

Sonar-based object detection for autonomous underwater vehicles in marine environments

Sonar image object detection plays a crucial role in obstacle detection, target recognition, and environmental perception in autonomous underwater vehicles (AUVs). However, the complex underwater ...
GitHub

Label map id 0 is reserved for the background label

when i run the python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config..... (tf) D:\Anaconda\envs\tf ...
IEEE

Effective object detection using Tensorflow facilitated YOLOv3 model

Abstract: Object detection forms an important area of research where the efforts are still being put forth to improve the accuracy of detection. Several approaches have been made which also include ...
IEEE

Traffic Light Detection Using Tensorflow Object Detection Framework

Abstract: Traditional methods in machine learning for detecting traffic lights and classification are replaced by the recent enhancements of deep learning object detection methods by success of ...
GitHub

tensorflow object detection api on windows with gtx 1650 , cuda 10.0, cudnn 7.4

i hope that you are doing well. is it possible to install tensorflow object detection API on windows using NVIDIA GEFORCE GTX 1650, CUDA 10.0? i saw in tensorflow documentation that the version of ...
insideHPC

TensorFlow Tutorial – Simple Linear Model

In this excellent tutorial video presentation below, Magnus Erik Hvass Pedersen demonstrates the basic workflow of using TensorFlow with a simple linear model. After loading the so-called MNIST ...