Based on our record, GitLab should be more popular than Amazon Rekognition. It has been mentiond 114 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 / 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: over 1 year ago
Yeah, I'm actually doing that with Gitea: https://about.gitea.com/ Some people went with the forgejo fork: https://forgejo.org/ though Gitea itself was a fork of Gogs, if I remember correctly: https://gogs.io/ I also ran GitLab in the past: https://about.gitlab.com/ but keeping it updated and giving it enough resources for it to be happy was troublesome. There's also GitBucket: https://gitbucket.github.io/ and... - Source: Hacker News / about 1 month ago
GitLab (more than just issues): https://about.gitlab.com/. - Source: Hacker News / about 2 months ago
GitLab is one of the most popular all-in-one software delivery platforms. It includes source management and CI/CD functions with excellent Kubernetes integration. - Source: dev.to / 3 months ago
Seamlessly integrate with tools like GitHub, GitLab, and CI/CD pipelines. - Source: dev.to / 4 months ago
Gitlab.com — Unlimited public and private Git repos with up to 5 collaborators. Also offers the following features : CI/CD (Free for Public Repos, 400 mins/month for private repos) Static Sites with GitLab Pages. Container Registry with a 10 GB limit per repo. Project Management and issue Tracking. - Source: dev.to / 5 months ago
Kairos - Facial recognition & mood detection API
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
Clarifai - The World's AI
Gitea - A painless self-hosted Git service