Face Recognition VS multi-object-tracker

Compare Face Recognition vs multi-object-tracker and see what are their differences.

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Face Recognition multi-object-tracker
34 4
51,474 664
- -
0.0 6.4
about 1 month ago 6 months ago
Python Python
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.

Face Recognition

Posts with mentions or reviews of Face Recognition. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-28.

multi-object-tracker

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

We haven't tracked posts mentioning multi-object-tracker yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing Face Recognition and multi-object-tracker you can also consider the following projects:

insightface - State-of-the-art 2D and 3D Face Analysis Project

ByteTrack - [ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

FastMOT - High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

CompreFace - Leading free and open-source face recognition system

Milvus - A cloud-native vector database, storage for next generation AI applications

norfair - Lightweight Python library for adding real-time multi-object tracking to any detector.

OpenCV - Open Source Computer Vision Library

tesseract-ocr - Tesseract Open Source OCR Engine (main repository)

Kornia - Geometric Computer Vision Library for Spatial AI

Dlib - A toolkit for making real world machine learning and data analysis applications in C++

facenet - Face recognition using Tensorflow

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.