Tag: Amazon SageMaker Ground Truth
Breaking News
Get to production-grade data faster by using new built-in interfaces with Amazon SageMaker Ground Truth Plus
Launched at AWS re:Invent 2021, Amazon SageMaker Ground Truth Plus helps you create high-quality training datasets by removing the undifferentiated heavy lifting associated with...
Image augmentation pipeline for Amazon Lookout for Vision
Amazon Lookout for Vision provides a machine learning (ML)-based anomaly detection service to identify normal images (i.e., images of objects without defects) vs anomalous...
Create high-quality data for ML models with Amazon SageMaker Ground Truth
Machine learning (ML) has improved business across industries in recent years—from the recommendation system on your Prime Video account, to document summarization and efficient...
Identify rooftop solar panels from satellite imagery using Amazon Rekognition Custom Labels
Renewable resources like sunlight provide a sustainable and carbon neutral mechanism to generate power. Governments in many countries are providing incentives and subsidies to...
LiDAR 3D point cloud labeling with Velodyne LiDAR sensor in Amazon SageMaker Ground Truth
LiDAR is a key enabling technology in growing autonomous markets, such as robotics, industrial, infrastructure, and automotive. LiDAR delivers precise 3D data about its...
Create a large-scale video driving dataset with detailed attributes using Amazon SageMaker Ground Truth
Do you ever wonder what goes behind bringing various levels of autonomy to vehicles? What the vehicle sees (perception) and how the vehicle...
Improve newspaper digitalization efficacy with a generic document segmentation tool using Amazon Textract
We are living in a digital age. Information that used to be spread by printouts is disseminated at unforeseen speeds through digital formats....
Build BI dashboards for your Amazon SageMaker Ground Truth labels and worker metadata
This is the second in a two-part series on the Amazon SageMaker Ground Truth hierarchical labeling workflow and dashboards. In Part 1: Automate...
Automate multi-modality, parallel data labeling workflows with Amazon SageMaker Ground Truth and AWS Step Functions
This is the first in a two-part series on the Amazon SageMaker Ground Truth hierarchical labeling workflow and dashboards. In Part 1, we...
Training and deploying models using TensorFlow 2 with the Object Detection API on Amazon SageMaker
With the rapid growth of object detection techniques, several frameworks with packaged pre-trained models have been developed to provide users easy access to...
Building your own brand detection and visibility using Amazon SageMaker Ground Truth and Amazon Rekognition Custom Labels – Part 1: End-to-end solution
According to Gartner, 58% of marketing leaders believe brand is a critical driver of buyer behavior for prospects, and 65% believe it’s a...
Labeling mixed-source, industrial datasets with Amazon SageMaker Ground Truth
Prior to using any kind of supervised machine learning (ML) algorithm, data has to be labeled. Amazon SageMaker Ground Truth simplifies and accelerates...