GoogleWhat 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 Development & Training Tools category of a tech stack.
Key Features
Image labeling - Identify objects, locations, activities, animal species, products, and moreText recognition (OCR) - Recognize and extract text from imagesFace detection - Detect faces and facial landmarksBarcode scanning - Scan and process barcodesLandmark detection -
Identify popular landmarks in an imageSmart reply - Provide suggested text snippet that fits context
ML Kit Pros & Cons
Pros of ML Kit
No pros listed yet.
Cons of ML Kit
No cons listed yet.
ML Kit Alternatives & Comparisons
What are some alternatives to ML Kit?
TensorFlow
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.
PyTorch
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.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
