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Classification-Image (157 results) showing 1 - 10



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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With GTRIIP's Passport Data Page Detection API, you can now have automated Know Your Customer (KYC) capabilities at your fingertips. GTRIIP's Passport Page Detection API uses machine learning and AI to verify the photograph and personal particulars on the passport page and can extract these...

Model Package - Fulfilled on Amazon SageMaker


This is an Image Classification model from [PyTorch Hub](https://pytorch.org/hub/pytorch_vision_resnet/). It takes an image as input and classifies the image to one of the 1000 classes. The model available for deployment is pre-trained on ImageNet (ILSVRC-2012-CLS) which comprises images of 1000...

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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...

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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...

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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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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


This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/tf2-preview/mobilenet_v2/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 images...

Model Package - Fulfilled on Amazon SageMaker


Sensifai offers automatic Logo Recognition in images. This system recognizes the presence of the top 500 brand logos in a given image.


This model provides object detection on images using a Mask R-CNN (ResNetXt 101 + FPN) architecture. This network provides state of the art accuracy the COCO2017 validation (Box AP: 43.0) and at the same time it provides fast inference times. Supports both CPU and GPU and it features a simple...

Model Package - Fulfilled on Amazon SageMaker