D-Drone_v2 VS SeeAI

Compare D-Drone_v2 vs SeeAI and see what are their differences.

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D-Drone_v2 SeeAI
1 2
10 7
- -
10.0 10.0
almost 2 years ago over 1 year ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only BSD 2-clause "Simplified" 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.

D-Drone_v2

Posts with mentions or reviews of D-Drone_v2. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-08.

SeeAI

Posts with mentions or reviews of SeeAI. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing D-Drone_v2 and SeeAI you can also consider the following projects:

Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.

2D-Gaussian-Splatting - A 2D Gaussian Splatting paper for no obvious reasons. Enjoy!

uav-detection - Drone / Unmanned Aerial Vehicle (UAV) Detection is a very safety critical project. It takes in Infrared (IR) video streams and detects drones in it with high accuracy.

lane-detection-opencv - This is for detecting any lane in the road to identify the road map

samples - WebRTC Web demos and samples

100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

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.

DeepLearning - Contains all my works, references for deep learning

Social_Distancing_with_AI - Monitor people violating Social Distancing or not wearing Face Masks in public through CCTV footage.

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

learnopencv - Learn OpenCV : C++ and Python Examples

Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: