Until recently, segmentation required large, compute-intensive neural networks. This made it difficult to run these deep learning models without a connection to cloud servers. In their latest work ...

The top Python libraries for machine learning and image processing are OpenCV, TensorFlow, Keras, ... Some common techniques for image data analysis using Python include image segmentation, ...

Scikit-learn is a library with many uses, such as for classical machine learning algorithms, like those for spam detection, image recognition, prognostication, and customer segmentation.

It is a deep learning framework intended for image classification and segmentation. It has features like simple CPU and GPU switching, optimised model definition and configuration, computation ...