Given an input image, this will return object coordinates and category predictions. The format of coordinates is encoded as (left, top, right, bottom) of the absolute pixel locations. This model is trained on COCO dataset with 80 common object categories. It can be used as fast and reliable general...
Model Package - Fulfilled on Amazon SageMaker
Given an input image, this model will return object coordinates and category predictions. The format of coordinates is encoded as (left, top, right, bottom) of the absolute pixel locations. This model is trained on COCO dataset with 80 common object categories. It can be used as fast and reliable...
Model Package - Fulfilled on Amazon SageMaker
License Plate Recognition is one of the techniques used for vehicle identification purposes. The sole intention of this product is to find the most efficient way to recognize the number plate information from the digital image . This process involves detecting a vehicle, localizing the license...
Model Package - Fulfilled on Amazon SageMaker
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Sensifai offers automatic face recognition and identification. For example, our basic software recognizes thousands of celebrities in images. In Sagemaker platform, you can easily fine-tune this software to recognize a new set of people or celebrities and tag them in images by providing the...
Algorithm - Fulfilled on Amazon SageMaker
Text Summarizer solution is an optimal way to tackle the problem of information overload by reducing the size of long documents into a few sentences . Neural-network-based models have the ability to automatically learn the distributed representation for sentences and documents. This summarizer is...
Model Package - Fulfilled on Amazon SageMaker
Significant time is spent by auto insurance adjusters to appraise vehicle loss and estimate the final settlement amount. Large volume of minor loss claims consume significant bandwidth of adjusters. A machine learning model can reduce this amount by inspecting and identifying type of damage after...
Model Package - Fulfilled on Amazon SageMaker
Given an incomplete sentence, this model predicts sentences that are most likely to occur in the context. For example, given input "I love it", it will generate samples like "I love it and enjoy one of their series, Schafer or Clive ."
Model Package - Fulfilled on Amazon SageMaker
This model provides intermediate image feature extraction functionality for image classification. It can also provide top-5 category predictions out of 1000 classes on ImageNet. This network is one of the fastest models that also provide high accuracy. It also provides high-quality features as...
Model Package - Fulfilled on Amazon SageMaker
Given an input image, this model will return object coordinates and category predictions. The format of coordinates is encoded as (left, top, right, bottom) of the absolute pixel locations. This model is trained on COCO dataset with 80 common object categories. It can be used as fast and reliable...
Model Package - Fulfilled on Amazon SageMaker
Given an input image, this model will generate a mask that describes the category for each pixel. For training new models on your own datasets, the algorithm is also available as built-in SageMaker algorithm: https://docs.aws.amazon.com/sagemaker/latest/dg/semantic-segmentation.html
Model Package - Fulfilled on Amazon SageMaker
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