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Implement smart document search index with Amazon Textract and Amazon OpenSearch

AWS Machine Learning

Documents in PDF, TIFF, JPEG or PNG format are put in an Amazon Simple Storage Service ( Amazon S3 ) bucket and subsequently indexed into OpenSearch using this Step Functions workflow. Figure 11: OpenSearch timespan change Now you can start to search. The default is 15 minutes and often there was no activity in the last 15 minutes.

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Monitoring Lake Mead drought using the new Amazon SageMaker geospatial capabilities

AWS Machine Learning

Each pixel in the land cover mask has a value between 0-11. In this example, we load these masks as NumPy arrays using the Tifffile package. The SageMaker Geospatial 1.0 kernel also includes other widely used libraries like GDAL and Rasterio. Each value corresponds to a particular class of land cover. Water’s class index is 6. RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)

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Image augmentation pipeline for Amazon Lookout for Vision

AWS Machine Learning

png') noise=iaa.AdditiveGaussianNoise(10,40) input_noise=noise.augment_image(input_img) contrast=iaa.GammaContrast((0.5, png","s10-label-ref":"s3://pcbtest22/label/s10-label/annotations/consolidated-annotation/output/0_2022-09-08T18:01:51.334016.png","s10-label-ref-metadata":{"internal-color-map":{"0":{"class-name":"BACKGROUND","hex-color":"#ffffff","confidence":0},"1":{"class-name":"IC","hex-color":"#2ca02c","confidence":0},"2":{"class-name":"resistor_1","hex-color":"#1f77b4","con

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Introducing QR code surveys: Get feedback wherever your customers are

delighted

In fact, an estimated 11 million US households are projected to scan a QR code in 2020 ( source ). Download the QR survey code in PNG or SVG format. This is because you needed to download a separate scanner app to read the code, which is a pretty big hurdle. Like all other things Delighted, generating a QR survey code is easy.

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Semantic segmentation data labeling and model training using Amazon SageMaker

AWS Machine Learning

Annotations are expected to be uncompressed PNG images. png | - image2.png png |- validation_annotation | - image3.png png | - image4.png png |- label_map | - train_label_map.json | - validation_label_map.json. The annotations are single-channel PNG images. png | -0_2022-02-10T17:41:04.530266.png

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Using Amazon SageMaker with Point Clouds: Part 1- Ground Truth for 3D labeling

AWS Machine Learning

png │ │ │ ├── 20180807145028_lidar_frontcenter_000000091.json png │ │ │ ├── 20180807145028_lidar_frontcenter_000000380.json png │ │ │ ├── 20180807145028_lidar_frontcenter_000000380.png png │ │ │ ├──. │ ├── label3D │ │ ├── cam_front_center │ │ │ ├── 20180807145028_lidar_frontcenter_000000091.json npz │ │ │ ├──.

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Intelligent document processing with AWS AI services: Part 1

AWS Machine Learning

It starts with a data capture stage to securely store and aggregate different file formats (PDF, JPEG, PNG, TIFF) and layouts of documents. Amazon S3 is designed for 11 9’s of durability and stores data for millions of customers all around the world. The following architecture diagram shows the stages of an IDP workflow.

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