AWS Machine Learning Blog

SEPTEMBER 29, 2023

In this post, we illustrate how to use a segmentation machine learning (ML) model to identify crop and non-crop regions in an image. Identifying crop regions is a core step towards gaining agricultural insights, and the combination of rich geospatial data and ML can lead to insights that drive decisions and actions.

Machine Learning 126

Machine Learning Machine Learning ML ML 126

AWS Machine Learning Blog

APRIL 3, 2024

We detail the steps to use an Amazon Titan Multimodal Embeddings model to encode images and text into embeddings, ingest embeddings into an OpenSearch Service index, and query the index using the OpenSearch Service k-nearest neighbors (k-NN) functionality. You then display the top similar results.

K-nearest Neighbors 113

K-nearest Neighbors AWS Machine Learning Machine Learning 113

AWS Machine Learning Blog

APRIL 19, 2024

We perform a k-nearest neighbor (k-NN) search to retrieve the most relevant embeddings matching the user query. This notebook will download a publicly available slide deck , convert each slide into the JPG file format, and upload these to the S3 bucket. We run these notebooks one by one. I need numbers."

AWS 120

AWS ML ML Database 120

AWS Machine Learning Blog

JANUARY 30, 2024

We perform a k-nearest neighbor (k=1) search to retrieve the most relevant embedding matching the user query. Setting k=1 retrieves the most relevant slide to the user question. In this notebook, we download the LLaVA-v1.5-7B As per the AI/ML flywheel, what do the AWS AI/ML services provide?

AWS 114

AWS ML ML K-nearest Neighbors 114

AWS Machine Learning Blog

NOVEMBER 13, 2024

To upload the dataset Download the dataset : Go to the Shoe Dataset page on Kaggle.com and download the dataset file (350.79MB) that contains the images. To search against the database, you can use a vector search, which is performed using the k-nearest neighbors (k-NN) algorithm.

AWS 109

AWS Database K-nearest Neighbors AI 109

AWS Machine Learning Blog

NOVEMBER 30, 2023

The previous post discussed how you can use Amazon machine learning (ML) services to help you find the best images to be placed along an article or TV synopsis without typing in keywords. Amazon Rekognition automatically recognizes tens of thousands of well-known personalities in images and videos using ML.

AWS 111

AWS K-nearest Neighbors ML ML 111

AWS Machine Learning Blog

JANUARY 6, 2023

We downloaded the data from AWS Data Exchange and processed it in AWS Glue to generate KG files. In Part 2 , we demonstrated how to use Amazon Neptune ML (in Amazon SageMaker ) to train the KG and create KG embeddings. Matthew Rhodes is a Data Scientist I working in the Amazon ML Solutions Lab. About the Authors.

AWS 91

AWS ML ML Machine Learning 91