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Computer Vision (337 results) showing 281 - 290



Customized Chest CT Anomaly Segmentation is an advanced deep learning solution specifically designed for chest CT-scan diagnosis. The solution utilizes state-of-the-art biomedical segmentation deep learning models and frameworks. It performs semantic segmentation on a wide range of chest anomalies...

Algorithm - Fulfilled on Amazon SageMaker


This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/mobilenet_v1_050_128/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...

Model Package - Fulfilled on Amazon SageMaker


The Model uses Person Detection network followed by the Person Attributes Recognition and Person Reidentification Retail networks applied on top of the detection results. These are pre-trained models for finding persons, reporting attributes like gender, has hat, has long-sleeved clothes,...

Model Package - Fulfilled on Amazon SageMaker


Comet's machine learning platform integrates with your existing infrastructure and tools so you can manage, visualize, and optimize model - from training runs to production monitoring. Add two lines of code to your notebook or script and automatically start tracking code, hyperparameters, metrics,...


This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/imagenet/inception_resnet_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...

Model Package - Fulfilled on Amazon SageMaker


ImageChat redefines Generative AI with computer vision. By combining the power of computer vision with language understanding, ImageChat offers a new way of analyzing visual data. ImageChat seamlessly conducts contextual searches of image data to extract granular details with unprecedented speed...


This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/ssd_mobilenet_v2/fpnlite_320x320/1). It takes an image as input and returns bounding boxes for the objects in the image. The model is pre-trained on COCO 2017 which comprises images with multiple objects and the...

Model Package - Fulfilled on Amazon SageMaker


This is an Image Classification model from [TensorFlow Hub](https://tfhub.dev/google/bit/s-r101x1/ilsvrc2012_classification/1). 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 of...

Model Package - Fulfilled on Amazon SageMaker


Image Quality Check by Seamfix relies on advanced algorithms to verify images and ensure they meet international standards. It assesses image attributes like resolution, color depth, sharpness and distortion, then provides a pass-or-fail result with detailed feedback. Some of our checks...

Model Package - Fulfilled on Amazon SageMaker