--- title: "Let's detect flowers! (with SageMaker and DeepLens)" url: https://daily.dev/posts/let-s-detect-flowers-with-sagemaker-and-deeplens--tr7zpfmso source_url: https://dev.to/aws-builders/lets-detect-flowers-with-sagemaker-and-deeplens-8li type: article source: "AWS Builders" published: 2024-04-05T15:19:48.367Z updated: 2024-04-05T15:19:47.602Z tags: ["aws", "machine-learning", "computer-vision", "aws-sagemaker"] reading_time: 4 upvotes: 0 comments: 0 language: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Let's detect flowers! (with SageMaker and DeepLens) **[AWS Builders](https://daily.dev/sources/aws-builders)** · 4 min read · 0 upvotes · 0 comments ## Summary The post discusses the process of detecting flowers using SageMaker and DeepLens. It covers setting up an S3 bucket, labeling the data, model training, model integration, and model deployment. It also explains the importance of accuracy scores in machine learning. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Don’t just attend KubeCon \+ CloudNativeCon, Merge Forward your experience\!](https://daily.dev/posts/don-t-just-attend-kubecon-cloudnativecon-merge-forward-your-experience--l0rpp73x8) · CNCF · 0 upvotes · 0 comments - [Announcing H2 2026 KCDs](https://daily.dev/posts/announcing-h2-2026-kcds-m96goajm1) · CNCF · 1 upvotes · 0 comments - [Two months of Open Community Groups](https://daily.dev/posts/two-months-of-open-community-groups-asf52zhbs) · CNCF · 0 upvotes · 0 comments --- Tags: [#aws](https://daily.dev/tags/aws), [#machine-learning](https://daily.dev/tags/machine-learning), [#computer-vision](https://daily.dev/tags/computer-vision), [#aws-sagemaker](https://daily.dev/tags/aws-sagemaker) [View this post on daily.dev](https://daily.dev/posts/let-s-detect-flowers-with-sagemaker-and-deeplens--tr7zpfmso)