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Segmentation/Pixel Labeling (6 results) showing 1 - 6



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...

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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

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Telescope® is a remote sensing technology home-grown at Affine to find innovative solutions to complex and challenging business problems. This next-gen AI Satellite Image segmentation solution powered by AWS has a wide range of real-world applications like monitoring deforestation, traffic...

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The NavInfo Europe Generic Segmentation Model is a pre-trained semantic segmentation model trained on 7 classes suitable for autonomous driving, mapping and road asset management use-cases.

Model Package - Fulfilled on Amazon SageMaker


Labelata is a Switzerland based start-up specialising in supporting academic researchers, firms and hospitals with Medical AI projects. Labelata provides segmentation and labelling of data with a focus on quality, oversight and data protection. Our network of trained medical professionals allows us...

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