This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/tensorflow/efficientnet/lite3/classification/2). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_vgg/). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes....
Model Package - Fulfilled on Amazon SageMaker
This model provides image classification for 360° images, using an Inception neural network adapted from: Christian Szegedy et al "Going deeper with convolutions", 2014 (https://arxiv.org/abs/1409.4842). It takes a 360 image as input and classifies the image to one...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/mobilenet_v1_100_160/classification/4). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises...
Model Package - Fulfilled on Amazon SageMaker
As machine learning models gain prominence in various enterprise applications, privacy of data has become a growing concern. Model inversion attacks aim to infer sensitive information about data by exploiting the model's output. This is achieved by iteratively guessing the exact input data features...
Algorithm - Fulfilled on Amazon SageMaker
This model provides scene classification for 360 degree images. It takes a 360 image as input and classifies the image to one of a 365...
Model Package - Fulfilled on Amazon SageMaker
This solution measures the key robustness measures for the Keras based image classification model. Robust models are immune to the adversarial attacks, thus measuring robustness of the models is important from the point of view of data and information security. This solution leverages four metrics...
Algorithm - Fulfilled on Amazon SageMaker
This is a Hybrid Quantum Machine Learning solution which detects damaged shipment images. The algorithm runs on a Quantum Computing emulator and is built on cutting-edge quantum mechanics theory of machine learning embedded with classical pretrained deep learning model. The algorithms used in this...
Model Package - Fulfilled on Amazon SageMaker
Non-Hodgkin lymphoma (also known as non-Hodgkin’s lymphoma, NHL, or sometimes just lymphoma) is a cancer that starts in white blood cells called lymphocytes, which are part of the body’s immune system. This model illustrates the potential of Deep Learning - in contributing to the automation of...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/tensorflow/efficientnet/lite1/classification/2). It takes an image as input and classifies the image to one of the multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of...
Model Package - Fulfilled on Amazon SageMaker
showing 51 - 60