What is Segments.ai?
The platform for computer vision experts to iterate more quickly between data labeling, model training and failure case discovery.
Segments.ai is a tool in the Machine Learning Tools category of a tech stack.
- Debug your data
- Turn predictions into ground truth
- Implement active learning pipelines
- Label images in no time
- Integrate into existing workflows
Segments.ai Alternatives & Comparisons
What are some alternatives to Segments.ai?
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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.
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.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
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.
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