Based on our record, Amazon Rekognition should be more popular than AWS CodeCommit. It has been mentiond 33 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / about 2 months ago
I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 10 months ago
For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 10 months ago
Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / about 1 year ago
Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: about 1 year ago
AWS CodeCommit: secure, highly scalable, managed source control service that hosts private Git repositories. - Source: dev.to / 2 months ago
AWS CodeCommit is AWS's hosted GitHub in the cloud. It is integrated with IAM and you should understand how different levels of permissions that can be granted to users of the service. Know what the AWSCodeCommitPowerUser policy is for. You can receive notifications via SNS to invoke downstream actions in AWS CodeBuild, AWS CodePipeline or other competing services. - Source: dev.to / 3 months ago
CodeCommit - 5 active users,50GB storage, and 10000 requests per month. - Source: dev.to / 3 months ago
Build – Used for all CodeCommit repositories and CodePipelines that are deployed within the landing zone. - Source: dev.to / 5 months ago
PR-Agent offers extensive pull request functionalities across various git providers: GitHub, GitLab, or Bitbucket, CodeCommit, Azure DevOps, Gerrit. - Source: dev.to / 5 months ago
Clarifai - The World's AI
Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Atlassian Bitbucket Server - Atlassian Bitbucket Server is a scalable collaborative Git solution.
Kairos - Facial recognition & mood detection API
Mercurial SCM - Mercurial is a free, distributed source control management tool.