Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment VS OnenoteTaggingKit

Compare Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment vs OnenoteTaggingKit and see what are their differences.

Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment

This project is part of the CS course 'Systems Engineering Meets Life Sciences I' at Goethe University Frankfurt. In this Computer Vision project, we present our first attempt at tackling the problem of traffic sign recognition using a systems engineering approach. (by alen-smajic)
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Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment OnenoteTaggingKit
2 4
45 186
- -
0.0 2.8
almost 3 years ago about 1 year ago
C# C#
MIT License Microsoft Public License
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Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment

Posts with mentions or reviews of Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment. We have used some of these posts to build our list of alternatives and similar projects.

OnenoteTaggingKit

Posts with mentions or reviews of OnenoteTaggingKit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-23.
  • Is Obsidian the right tool for my needs?
    3 projects | /r/ObsidianMD | 23 Sep 2021
    So, to sum up, your kind of work is best done in OneNote. If you want some more functionality, beside ontastic add-in, which is paid, there is two awesome add-ins OneMorehttps://github.com/stevencohn/OneMore, it has some of the functions provided by onetastic and some it doesn't have. The other is OneNoteTaggingKit which lets you add textual tags in OneNote, very similar to Obsidian, Joplin, Evernote tags.
  • I love Onenote, but I'm not happy... not yet.
    1 project | /r/OneNote | 20 Sep 2021
    WetHatt's tagging kit addin for OneNote. It provides tags the same way as Evernote, but single level. Works with OneNote 365, and 2019, but not OneNote for Windows 10.
  • Sharing Pages + Creating searchable tags for a wiki
    2 projects | /r/OneNote | 12 Aug 2021
    - For textual tags (like the ones used in notion): OneNote TaggingKit it's open source.
  • What is your setup/system to manage "To read" articles?
    1 project | /r/OneNote | 6 Aug 2021
    A good trick is also to use textual tags (not ON built-in tags) like WetHat's free tagging toolkit https://github.com/WetHat/OnenoteTaggingKit/wiki to add keywords (tags) to the articles and use those tags to group/find what you want to read at any given time

What are some alternatives?

When comparing Towards-Explainable-AI-System-for-Traffic-Sign-Recognition-and-Deployment-in-a-Simulated-Environment and OnenoteTaggingKit you can also consider the following projects:

flowframes - Flowframes Windows GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN)

oz-image-in-editor-obsidian - This Obsidian plugin to view Images, Transclusions, iFrames and PDF Files within the Editor without a necessity to switch to Preview.

OpenSeeFace - Robust realtime face and facial landmark tracking on CPU with Unity integration

NoteHighlight2016 - Source code syntax highlighting for OneNote 2016 and OneNote for O365 . NoteHighlight 2013 port for OneNote 2016 (32-bit and 64-bit)

Alturos.Yolo - C# Yolo Darknet Wrapper (real-time object detection)

reMarkableSync - An OneNote AddIn for importing digitized notes from the reMarkable tablet.

com.unity.perception - Perception toolkit for sim2real training and validation in Unity

OneMore - A OneNote add-in with simple, yet powerful and useful features

ailab - Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

Hangfire.Tags - Add tags to Hangfire backgroundjobs

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.

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.