MobileNetV2 is a pre-trained convolutional neural network model available in the Keras library in Python. It is specifically designed for efficient mobile and embedded vision applications. This model supports the classification of images into a large number of classes with high accuracy. MobileNetV2 is characterized by its light-weight architecture, making it suitable for deployment on devices with limited computational resources. It achieves a good balance between model size and performance, making it useful for various computer vision tasks, such as image classification and object detection.
Python MobileNetV2 - 30 examples found. These are the top rated real world Python examples of keras.applications.mobilenet_v2.MobileNetV2 extracted from open source projects. You can rate examples to help us improve the quality of examples.