Subway-Station-Hazard-Detection VS Deep-Learning-Computer-Vision

Compare Subway-Station-Hazard-Detection vs Deep-Learning-Computer-Vision 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)
Computer Vision Unity Pytorch Python C# Blender Simulation semantic-segmentation Machine Learning Deep Learning segnet Surveillance Deeplearning University
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Deep-Learning-Computer-Vision

My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020. (by seloufian)
Computer Vision visual-recognition Machine Learning Deep Learning convolutional-neural-networks Python Numpy Pytorch assignment stanford michigan cs231n cs231n-assignment eecs498-007
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Subway-Station-Hazard-Detection Deep-Learning-Computer-Vision
4 1
11 106
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0.0 2.6
about 3 years ago about 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License -
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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.

Deep-Learning-Computer-Vision

Posts with mentions or reviews of Deep-Learning-Computer-Vision. 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 Deep-Learning-Computer-Vision you can also consider the following projects:

ml-course - Open Machine Learning course

cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

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.

stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]

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

ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

pytorch-implementations - A collection of paper implementations using the PyTorch framework

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

ml-mipt - Former repository of ML course. Redirect link included

Subway-Station-Hazard-Detection vs ml-course Deep-Learning-Computer-Vision vs cs231n Subway-Station-Hazard-Detection vs 3D-Public-Transport-Simulator Deep-Learning-Computer-Vision vs stanford-CS229 Subway-Station-Hazard-Detection vs pytorch-segmentation Deep-Learning-Computer-Vision vs ktrain Deep-Learning-Computer-Vision vs computervision-recipes Deep-Learning-Computer-Vision vs Face-Mask-Detection Deep-Learning-Computer-Vision vs pytorch-implementations Deep-Learning-Computer-Vision vs HugsVision Deep-Learning-Computer-Vision vs ml-mipt Deep-Learning-Computer-Vision vs ml-course