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A computer vision framework for self-supervised learning
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What is Lightly?

Data labeling is time-consuming and can be very expensive. Lightly tells companies which data to label to have the biggest impact on model accuracy while saving time and costs.
Lightly is a tool in the Image Processing and Management category of a tech stack.
Lightly is an open source tool with 1.2K GitHub stars and 69 GitHub forks. Here’s a link to Lightly's open source repository on GitHub

Lightly Integrations

Lightly's Features

  • Save money on your data related costs by removing redundancies
  • Reduce overfitting and improve generalization by diversifying your dataset

Lightly Alternatives & Comparisons

What are some alternatives to Lightly?
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 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.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
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