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Computer Vision (68 results) showing 1 - 10



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...

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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...

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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


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 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


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 best models that are both highly efficient and accurate. As a result, it also provides...

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Go beyond traditional vehicle recognition systems with Deep Vision APIs. We detect cars and recognize the year, make, model, and the angle of vehicles. Leading e-commerce and media brands utilize Deep Vision APIs to enhance product search and organize large collections of data. Advertisers and...

Model Package - Fulfilled on Amazon SageMaker


Given a content image and a style image, the Neural Style Transfer will transform the content image painted with the style image. This can be used in artwork applications such as logo/icon creation or fabric design generation.

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This model finds the vehicles and license plates; reports general vehicle attributes, for example, vehicle type (car/van/bus/track) and color; reports a string per recognized license plate.

Model Package - Fulfilled on Amazon SageMaker

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Sensifai offers sport recognition in videos. For example, our basic software recognizes hundreds of sport activities such as soccer, basketball and tennis. In sagemaker platform, you can easily fine-tune this software to recognize new sports and sport activities by providing the required training...

Algorithm - Fulfilled on Amazon SageMaker