blog_posts: 20fea89338
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#34-70341 | 2024-02-14 17:29:04 | Skeleton-based pose annotation labeling using Amazon SageMaker Ground Truth | https://aws.amazon.com/blogs/machine-learning/skeleton-based-pose-annotation-labeling-using-amazon-sagemaker-ground-truth/ | Pose estimation is a computer vision technique that detects a set of points on objects (such as people or vehicles) within images or videos. Pose estimation has real-world applications in sports, robotics, security, augmented reality, media and entertainment, medical applications, and more. Pose estimation models are trained on images or videos that are annotated with [...] | https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2024/01/31/ML-14933_football_player_2-300x216.png | 20fea89338 | Arthur Putnam, Ben Fenker, Jarvis Lee | 2024-02-14 17:29:04 | 14 Feb 2024 |
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