Software Alternatives & Reviews

Dlib VS Face Recognition

Compare Dlib VS Face Recognition and see what are their differences

Dlib logo Dlib

Dlib is a modern C++ toolkit containing machine learning algorithms & tools for creating complex software in C++ to solve real world problem

Face Recognition logo Face Recognition

Face Recognition is an app that is used for testing different facial recognition methods such as Caffe and Neural Networks to name a few.
  • Dlib Landing page
    Landing page //
    2019-11-25
  • Face Recognition Landing page
    Landing page //
    2023-09-18

Dlib videos

Face Recognition with Dlib in Python

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Category Popularity

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Dlib and Face Recognition

Dlib Reviews

10 Python Libraries for Computer Vision
Dlib is a versatile library that excels in face detection, facial landmark detection, image alignment, and more. It offers pre-trained models and tools for various machine learning tasks, making it a valuable asset for computer vision projects requiring accurate facial analysis.
Source: clouddevs.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
Dlib is a modern C++ toolkit containing machine learning algorithms and tools for developing complex software in C++ to solve real-world problems. Dlib is widely used in several sectors such as academia, government, and industry. It offers support for several computer vision algorithms such as object detection, face detection, and clustering.
Source: www.uubyte.com

Face Recognition Reviews

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Social recommendations and mentions

Dlib might be a bit more popular than Face Recognition. We know about 17 links to it since March 2021 and only 12 links to Face Recognition. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Dlib mentions (17)

  • 32 years old. HRT in April or May. Things I can do to maximize results and what to expect.
    The apparent gender estimates from photos are using dlib, and I really ought to get what I'm doing cleaned up in such a way that other people can use it easily. Source: about 1 year ago
  • C++ for machine learning
    Additionally, C++ may be used for extremely high levels of optimization even for cloud-based ML. Dlib and Kaldi are C++ libraries used as dependencies in Python codebases for computer vision and audio processing, for example. So if your application requires you to customize any functions similar to those libraries, then you'll need C++ knowhow. Source: over 1 year ago
  • What programming language should I learn after C++ for Audio DSP?
    If you know C++, you don't need anything else. Go and learn APIs for C++ libraries. If you're into DSP, why not study Dlib?. Source: over 1 year ago
  • Exponential vs linear progress?
    The data is mostly in this spreadsheet. The apparently facial gender estimates are made with Dlib. The mental health assessments are from Beck's Depression Inventory and the Snaith-Hamilton Pleasure Scale. The graph is made with gnuplot. Source: over 1 year ago
  • Flutter OpenCV and dlib for face detector & recognition
    The plugin uses dlib library with a very fast HOG detector for both face recognition and detector following the relative examples. Source: over 1 year ago
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Face Recognition mentions (12)

  • Security Image Recognition
    Camera connected to a PI? Something like this could run locally: https://github.com/ageitgey/face_recognition. Source: 5 months ago
  • Every thing you need to know about Machine Learning Pipeline
    One of the most common challenges is the black-box problem, when the pipeline becomes too complex to understand it would happen. This can make it difficult to identify issues with the system or to understand why it isn't working as we expected or make accurate predictions that saiwa company find out the solution for Face Recognition. Another challenge is the time required for organizations to deploy a machine... Source: 11 months ago
  • Reverse image search / facial recognition
    Second link is an easy to implement python library is you want to build it yourself Https://github.com/ageitgey/face_recognition. Source: 12 months ago
  • Made a easy to use face recognition library
    It is similar to https://github.com/ageitgey/face_recognition, except that Ageitgey's cli only compares the first face found in the image to the first one found the the second. Source: about 1 year ago
  • Salisbury council meeting minutes addressing conspiracy theorist councillors
    You'd have alot more luck with something like DLIB or an open source implementation such as: https://github.com/ageitgey/face_recognition. Source: over 1 year ago
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What are some alternatives?

When comparing Dlib and Face Recognition, you can also consider the following products

OpenCV - OpenCV is the world's biggest computer vision library

ML Kit (by Google) - Machine learning for mobile developers

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Hiface - Hiface is a facial simulation app that lets you decide what makeup or style suits you.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Smart Face Detector - Smart Face Detector is an application used to detect faces that try to enter your phone and restricted program.