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VLFeat VS DeepDetect

Compare VLFeat VS DeepDetect and see what are their differences

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Build powerful web apps, and create your custom AI apps, no code needed! featured
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VLFeat logo VLFeat

VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching.

DeepDetect logo DeepDetect

DeepDetect is a deep learning API and server that is written in C++11 to makes deep learning easy to work with and integrate into existing applications.
  • VLFeat Landing page
    Landing page //
    2021-10-14
  • DeepDetect Landing page
    Landing page //
    2021-10-10

Category Popularity

0-100% (relative to VLFeat and DeepDetect)

VLFeat

DeepDetect

Data Science And Machine Learning
37 37%
Data Science And Machine Learning
63% 63
Data Science Tools
100 100%
Data Science Tools
0% 0
AI
0 0%
AI
100% 100
Software Libraries
100 100%
Software Libraries
0% 0

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What are some alternatives?

When comparing VLFeat and DeepDetect, you can also consider the following products

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

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.

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...

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

Hasty.ai - Humans helping machines see the world.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

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