Frontiers

End-to-end 3D instance segmentation of synthetic data and embryo microscopy images with a 3D Mask R-CNN

In recent years, the exploitation of three-dimensional (3D) data in deep learning has gained momentum despite its inherent challenges. The necessity of 3D approaches arises from the limitations of two ...
IEEE

Semantic Analysis System to Recognize Moving Objects by Using a Deep Learning Model

Abstract: This study focuses on enhancing the accuracy and efficiency of semantic analysis systems for recognizing moving objects within video sequences. The primary aim is to improve object detection ...
Hacker

Driver Drowsiness Detection System: A Python Project with Source Code

Drowsiness detection is a safety technology that can prevent accidents that are caused by drivers who fell asleep while driving. The objective of this intermediate Python project is to build a ...
Scientific Research Publishing

Research on UAV Target Detection Based on Improved YOLOv11 ()

In response to the challenges of small object detection in UAV aerial photography, such as complex backgrounds, tiny targets, dense targets, and edge deployment, the YOLOv11n model was improved.
GitHub

Stereo R-CNN based 3D Object Detection for Autonomous Driving

26 May 2019: Pytorch 1.0.0 and Python 3.6 are supported now. Please checkout to branch 1.0! This project contains the implementation of our CVPR 2019 paper arxiv. Stereo R-CNN focuses on accurate 3D ...
Hacker

50 Popular Python open-source projects on GitHub in 2018

This post is curated by IssueHunt that an issue based bounty platform for open source projects. It is the easiest way to make bounty program for OSS. Anyone can fund any issues on GitHub and these ...
GitHub

Mask R-CNN for Object Detection and Segmentation

This is an implementation of Mask R-CNN on Python 3, Keras, and TensorFlow. The model generates bounding boxes and segmentation masks for each instance of an object in the image. It's based on Feature ...