This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_squeezenet/). 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...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/efficientnet/b7/classification/1). 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 classifies images of objects into trash or recyclable (cardboard, glass, paper, aluminum, or plastic) and returns a class probability for images of single objects. It was trained images taken on cell phone images of trash items submitted by Figure Eight contributors all over the world...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_squeezenet/). 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...
Model Package - Fulfilled on Amazon SageMaker
Surface defects in fabric pose aesthetic and durability problems. Classifying defects enables for the rapid identification and removal of the causes of their occurrence, as well as the provision of appropriate treatments to fix them. This Deep Learning-based solution identifies three classes of...
Algorithm - Fulfilled on Amazon SageMaker
Surface defects in aluminium strips poses quality and performance risks. Classifying defects enables for the rapid identification and removal of the causes of their occurrence, as well as the provision of appropriate treatment to fix them. This Deep Learning-based solution identifies four classes...
Algorithm - 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
Brain Tumor Classification solution helps to detect type of brain tumor (glioma, meningioma, and pituitary) in brain MRI images. This solution provides pretrained hybrid classical-quantum model that is built on open-source brain MRI data of 7022 images. The solution has trainable pipeline that...
Algorithm - Fulfilled on Amazon SageMaker
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
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