This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/mobilenet_v1_075_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
Hitachi’s image-based inspection solutions replace dangerous, expensive, and time-consuming maintenance processes for utility companies by combining the industry’s most sophisticated artificial intelligence (AI) and machine learning (ML) capabilities in one fully automated and integrated...
This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_googlenet/). 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
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+ Detects body parts for CT scans and completeness for chest abdomen pelvic region. + See https://medical-ai.sawtellabs.com for more info.
Model Package - Fulfilled on Amazon SageMaker
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/retinanet/resnet101_v1_fpn_640x640/1). It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the...
Model Package - Fulfilled on Amazon SageMaker
Scanned documents can have pages with wrong alignment, low contrast, low brightness and rotated upside down. This can create challenges while processing of documents using OCR, ICR, Text extraction, image-based ML/AI modelling, etc. This solution incorporates statistical models which identify...
Model Package - Fulfilled on Amazon SageMaker
This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/mobilenet_v2_140_224/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
This model out-of-the-box detects faces accurately, is deep learning based, and in particular, utilizes the Single Shot Detector (SSD) framework with ResNet as the base network.
Model Package - Fulfilled on Amazon SageMaker
Empower Your Store with Data-Driven Decisions - Aurora unlocks retail growth enabling you to: Increase Sales By understanding footfall patterns; peak hours; and customer demographics; retailers can tailor in-store promotions and staff allocation leading to higher sales conversions. Enhance...
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/retinanet/resnet101_v1_fpn_1024x1024/1). It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and...
Model Package - Fulfilled on Amazon SageMaker
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