Parabol is an online agile meeting tool that helps scrum masters and other leaders conduct powerful guided retrospective, sprint poker, and check-in meetings. Parabol helps teams continuously improve through hosting better meetings.
Parabol is ready to go out-of-the-box, integrates with Jira, GitHub and Slack, and is free for up to two teams.
Customizable templates, anonymous feedback, multiplayer grouping and guided discussions help teams find their flow and improve the way they work.
Based on our record, Amazon Rekognition seems to be a lot more popular than Parabol. While we know about 33 links to Amazon Rekognition, we've tracked only 1 mention of Parabol. 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.
Parabol | Remote | Full-time | https://parabol.co We build agile software that guarantees meetings are as short as they are productive. Everything we do is open source, from our code to our company. Tech stack: K8S, NodeJS, Typescript, GraphQL, React Two-minute Demo: https://parabol.co/retro-demo Repo: https://github.com/ParabolInc/parabol Senior Frontend Developer:... - Source: Hacker News / about 3 years ago
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
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
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
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
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