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DeepDetect VS VLFeat

Compare DeepDetect VS VLFeat and see what are their differences

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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 logo VLFeat

VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local features extraction and matching.
  • DeepDetect Landing page
    Landing page //
    2021-10-10
  • VLFeat Landing page
    Landing page //
    2021-10-14

Category Popularity

0-100% (relative to DeepDetect and VLFeat)

DeepDetect

VLFeat

Data Science And Machine Learning
61 61%
Data Science And Machine Learning
39% 39
AI
100 100%
AI
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100
Data Labeling
100 100%
Data Labeling
0% 0

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What are some alternatives?

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

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

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

Hasty.ai - Humans helping machines see the world.

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.

Computer Vision Annotation Tool (CVAT) - Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat

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

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