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Computer Vision (103 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...

Model Package - Fulfilled on Amazon SageMaker


Starting from $0.00/hr or from $0.00/yr (up to 70% savings) for software + AWS usage fees

This image contains Deep Learning AMI (DLAMI) Ubuntu 18.04 and includes support. This image is perfect for creating your deep learning models on a GPU instance such...

Linux/Unix, Ubuntu 18.04 LTS - 64-bit Amazon Machine Image (AMI)


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

  • Version 20.03.1
  • Sold by NVIDIA

TensorFlow is an open source software library for numerical computation using data flow graphs. TensorFlow was originally developed by researchers and engineers for the purposes of conducting machine learning and deep neural networks research. This image bundles NVIDIA's GPU-optimized TensorFlow...

Linux/Unix, Ubuntu Ubuntu 18.04 - 64-bit Amazon Machine Image (AMI)


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


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


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...

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