Subway-Station-Hazard-Detection VS Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

Compare Subway-Station-Hazard-Detection vs Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning and see what are their differences.

Subway-Station-Hazard-Detection

This project is part of the CS course 'Systems Engineering Meets Life Sciences II' at Goethe University Frankfurt. In this Computer Vision project, we developed a first prototype of a security system which uses the surveillance cameras at subway stations to recognize dangerous situations. The training data was artificially generated by a Unity-based simulation. (by Psarpei)

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset. (by alen-smajic)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Subway-Station-Hazard-Detection Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning
4 8
11 57
- -
0.0 3.6
about 3 years ago about 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Subway-Station-Hazard-Detection

Posts with mentions or reviews of Subway-Station-Hazard-Detection. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Subway-Station-Hazard-Detection and Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning you can also consider the following projects:

ml-course - Open Machine Learning course

get-started-with-JAX - The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

3D-Public-Transport-Simulator - The 3D Public Transport Simulator is a Unity-based simulation, which uses OpenStreetMap data in order to support the simulation of worldwide locations. The development was part of a Bachelor thesis.

yolo-tf2 - yolo(all versions) implementation in keras and tensorflow 2.x

pytorch-segmentation - :art: Semantic segmentation models, datasets and losses implemented in PyTorch.

HugsVision - HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

simple-faster-rcnn-pytorch - A simplified implemention of Faster R-CNN that replicate performance from origin paper

lama - 🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

NYU-DLSP20 - NYU Deep Learning Spring 2020

Mask-RCNN-Implementation - Mask RCNN Implementation on Custom Data(Labelme)

dl-colab-notebooks - Try out deep learning models online on Google Colab

fashionpedia-api - Python API for Fashionpedia Dataset