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Example: Drawing bounding boxes around face covers - Amazon Rekognition
Example: Drawing bounding boxes around face covers - Amazon Rekognition

Amazon SageMaker Ground Truthで画像分類用教師画像を作ってみる – Amazon SageMaker Advent  Calendar 2018 | DevelopersIO
Amazon SageMaker Ground Truthで画像分類用教師画像を作ってみる – Amazon SageMaker Advent Calendar 2018 | DevelopersIO

Improve newspaper digitalization efficacy with a generic document  segmentation tool using Amazon Textract
Improve newspaper digitalization efficacy with a generic document segmentation tool using Amazon Textract

Amazon Rekognition – Image Detection and Recognition Powered by Deep  Learning | AWS News Blog
Amazon Rekognition – Image Detection and Recognition Powered by Deep Learning | AWS News Blog

境界ボックスの表示 - Amazon Rekognition
境界ボックスの表示 - Amazon Rekognition

Liveness Detection to Improve Fraud Prevention in Financial Institutions  with Amazon Rekognition | AWS for Industries
Liveness Detection to Improve Fraud Prevention in Financial Institutions with Amazon Rekognition | AWS for Industries

Amazon SageMaker と Amazon Augmented AI によるオブジェクトの検出とモデルの再トレーニング | Amazon  Web Services ブログ
Amazon SageMaker と Amazon Augmented AI によるオブジェクトの検出とモデルの再トレーニング | Amazon Web Services ブログ

Amazon Rekognition Custom Labelsを利用した動物の特徴的な行動検出 | Amazon Web Services ブログ
Amazon Rekognition Custom Labelsを利用した動物の特徴的な行動検出 | Amazon Web Services ブログ

Amazon Bounding Box : r/mturk
Amazon Bounding Box : r/mturk

Amazon SageMaker] Ground Truthで物体検出用のデータセットを作成してみました | DevelopersIO
Amazon SageMaker] Ground Truthで物体検出用のデータセットを作成してみました | DevelopersIO

Detecting labels - Amazon Rekognition
Detecting labels - Amazon Rekognition

Amazon Rekognition - Qiita
Amazon Rekognition - Qiita

Data Labeling Features - Amazon SageMaker Ground Truth - Amazon Web Services
Data Labeling Features - Amazon SageMaker Ground Truth - Amazon Web Services

Amazon SageMaker] Ground Truthで物体検出用のデータセットを作成してみました | DevelopersIO
Amazon SageMaker] Ground Truthで物体検出用のデータセットを作成してみました | DevelopersIO

Training the Amazon SageMaker object detection model and running it on AWS  IoT Greengrass – Part 1 of 3: Preparing training data | The Internet of  Things on AWS – Official Blog
Training the Amazon SageMaker object detection model and running it on AWS IoT Greengrass – Part 1 of 3: Preparing training data | The Internet of Things on AWS – Official Blog

Locating objects with bounding boxes - Rekognition
Locating objects with bounding boxes - Rekognition

Amazon SageMaker Ground Truth を試してみる - Qiita
Amazon SageMaker Ground Truth を試してみる - Qiita

Using Amazon Rekognition Custom Labels and Amazon A2I for detecting pizza  slices and augmenting predictions – Vedere AI
Using Amazon Rekognition Custom Labels and Amazon A2I for detecting pizza slices and augmenting predictions – Vedere AI

SageMaker Ground Truthによる物体検出用データセットの作成 - Qiita
SageMaker Ground Truthによる物体検出用データセットの作成 - Qiita

イメージの向きとバウンディングボックスの座標を取得する - Amazon Rekognition
イメージの向きとバウンディングボックスの座標を取得する - Amazon Rekognition

Data Labeling Features - Amazon SageMaker Ground Truth - Amazon Web Services
Data Labeling Features - Amazon SageMaker Ground Truth - Amazon Web Services

Using Amazon Rekognition Custom Labels and Amazon A2I for detecting pizza  slices and augmenting predictions | AWS Machine Learning Blog
Using Amazon Rekognition Custom Labels and Amazon A2I for detecting pizza slices and augmenting predictions | AWS Machine Learning Blog

Object Detection algorithm now available in Amazon SageMaker | AWS Machine  Learning Blog
Object Detection algorithm now available in Amazon SageMaker | AWS Machine Learning Blog

Locating objects with bounding boxes - Rekognition
Locating objects with bounding boxes - Rekognition

Training A Custom Single Class Object Detection Model With Amazon  Rekognition Custom Labels
Training A Custom Single Class Object Detection Model With Amazon Rekognition Custom Labels

Amazon | Minimum Bounding Boxes and Volume Decomposition of CAD Models |  Chan, Chi-Keung, 陳志強 | Mechanical
Amazon | Minimum Bounding Boxes and Volume Decomposition of CAD Models | Chan, Chi-Keung, 陳志強 | Mechanical

Understanding Amazon Rekognition Custom Labels - Rekognition
Understanding Amazon Rekognition Custom Labels - Rekognition

Amazon SageMaker Ground Truth を使用してデータラベルを検証および調整し、より高品質のトレーニングデータセットを作成する  | Amazon Web Services ブログ
Amazon SageMaker Ground Truth を使用してデータラベルを検証および調整し、より高品質のトレーニングデータセットを作成する | Amazon Web Services ブログ

Amazon Rekognitionで顔の判別をしてみた | ハックノート
Amazon Rekognitionで顔の判別をしてみた | ハックノート