BitBucket Reviews

Amazon Rekognition Reviews

BitBucket mentions (74)

• Boost Your Coding Efficiency: 10 Productivity Tips for Developers

  Tools: Use platforms like Bitbucket or GitHub’s pull request feature. - Source: dev.to / 13 days ago

• Why Do I Love Open Source?

  We must be careful that the value, worth, and success of open-source projects are not measured by vanity metrics such as stars on GitHub or attempts at gaming the GitHub trending algorithm. For one thing, not all open source worth investment happens on GitHub, there are also platforms such as GitLab, Codeberg, and BitBucket where a lot of great work is being done. Some people also overblow the success of a... - Source: dev.to / 3 months ago

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Bitbucket — Unlimited public and private Git repos for up to 5 users with Pipelines for CI/CD. - Source: dev.to / 5 months ago

• Show HN: Atlassian Tweaks – QoL Improvements for Jira, Bitbucket, and Confluence

  Atlassian Tweaks is a collection of userscripts and userstyles, developed by myself and my colleagues, which tweak some things and reduce friction in our Jira, Bitbucket, and Confluence workflows at our $DAYJOB. These scripts and styles were originally written for the self-hosted versions of the Atlassian services. However, most of scripts and styles support the Cloud versions as well. Screenshots, descriptions,... - Source: Hacker News / 6 months ago

• Contributing to the cause: doing it the open-source way

  The "space" that we have been referring to, can be any of the following: GitHub, GitLab, BitBucket, and many more. For this blog, we will stick to GitHub, since that's more beginner-friendly. - Source: dev.to / 6 months ago

Amazon Rekognition mentions (33)

• Afraid of outgrowing AWS Rekognition? Try YOLO in Lambda.

  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 / 3 months ago

• Amazon Rekognition Custom Labels for Bears

  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 / 11 months ago

• “During a gold rush, sell shovels.” What are the shovels in the AI rush?

  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: 12 months ago

• Serverless Facial Recognition Voting Application Using AWS Services

  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

• Amazon Prime Video playback features

  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: over 1 year ago