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What is ML Kit?

ML Kit brings Google’s machine learning expertise to mobile developers in a powerful and easy-to-use package.
ML Kit is a tool in the Machine Learning Tools category of a tech stack.

Who uses ML Kit?


121 developers on StackShare have stated that they use ML Kit.

Why developers like ML Kit?

Here’s a list of reasons why companies and developers use ML Kit
Top Reasons
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ML Kit's Features

  • Image labeling - Identify objects, locations, activities, animal species, products, and more
  • Text recognition (OCR) - Recognize and extract text from images
  • Face detection - Detect faces and facial landmarks
  • Barcode scanning - Scan and process barcodes
  • Landmark detection - Identify popular landmarks in an image
  • Smart reply - Provide suggested text snippet that fits context

ML Kit Alternatives & Comparisons

What are some alternatives to ML Kit?
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
See all alternatives

ML Kit's Followers
163 developers follow ML Kit to keep up with related blogs and decisions.
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Dor Ben Dov
Meng Ye
Demetris Ang
Nelson Reis
Philip Crampron
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