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Sensifai offers action and activity recognition in videos. For example, our basic software recognizes hundreds of activities such as fighting, dancing, playing football, drinking, smoking. In sagemaker platform, you can easily fine-tune this software to recognize new activities and actions by...
Algorithm - Fulfilled on Amazon SageMaker
This is a demo product from Amazon that showcases the Marketplace experience. It was created using this sample notebook https://github.com/awslabs/amazon-sagemaker-examples/blob/master/advanced_functionality/scikit_bring_your_own/scikit_bring_your_own.ipynb. Decision Trees (DTs) are a...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult does Fantasy Sports Regularly. Lift over Random 2.93. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult uses CBD for Skincare. Lift over Random 2.36. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021 from Prosper's US Media...
Model Package - Fulfilled on Amazon SageMaker
Movie Reviews Sentiment Analyzer classifies movie reviews into positive and negative sentiments. It uses text analysis, natural language processing, machine learning techniques to predict the sentiment class. This solution is built around specialized vocabulary encountered in user reviews. It...
Model Package - Fulfilled on Amazon SageMaker
This post-pandemic Propensity Model determines the probability that a US adult uses the Shop Now feature on Pinterest Regularly. Lift over Random 2.23. This post-pandemic Propensity model is one of a series of consumer classification models based on data from over 17,000 US adults surveyed in 2021...
Model Package - Fulfilled on Amazon SageMaker
Prosper Insights & Analytics' Fashion Conscious propensity model predicts the probability that a U.S. adult consumer is fashion conscious. Based on a set of basic demographics, the model identifies individuals for whom the newest fashion trends and styles are important. The model was trained with...
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 multiple classes. The model available for deployment is pre-trained on ImageNet which comprises images of different classes....
Model Package - Fulfilled on Amazon SageMaker
This is an object detection model from [TensorFlow Hub](https://tfhub.dev/tensorflow/faster_rcnn/resnet101_v1_800x1333/1). 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
Data evolves over time, causing a change in the distributions and interpretation. This is known as drift and causes a degradation in ML model performance. The Drift Detector detects changes in the incoming data, and provides useful insights to the user with respect to the data and model behavior....
Model Package - Fulfilled on Amazon SageMaker
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