GitHub
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Amazon Rekognition
Clarifai
Kairos
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Microsoft Computer Vision API
Trueface Visionbox
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GitHub
Amazon RekognitionBased on our record, GitHub seems to be a lot more popular than Amazon Rekognition. While we know about 2463 links to GitHub, we've tracked only 41 mentions of Amazon Rekognition. 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.
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 3 days ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 4 days ago
## Tell Git to start tracking your project Git init ## Take a snapshot of all your current files Git add . ## Save this snapshot with a description Git commit -m "Initial commit from AI tool" ## Connect your local project to GitHub ## Get repository URL from your GitHub page ## it looks like https://github.com/your-name/your-repo.git Git remote add origin PASTE_YOUR_URL_HERE ## Upload your code to GitHub Git... - Source: dev.to / 13 days ago
Conclusion Next time Git insists a private repository doesn't exist, skip editing your config file and head straight to the Windows Credential Manager. Wiping out the stale git:https://github.com entry forces a clean handshake, getting you back to coding in less than a minute. - Source: dev.to / 14 days ago
Gitea is where all private repositories live: infra configs, personal projects, anything I don't want on a third-party server. Public projects still go to GitHub because that's where the audience is, but a number of those GitHub repositories are mirrored back to Gitea as a local backup. The split is simple: Gitea for control and resilience, GitHub for reach. - Source: dev.to / 14 days ago
Production-grade solutions leverage AWS AI/ML services to complement Amazon Bedrock. Amazon Comprehend provides natural language processing capabilities. Amazon Rekognition captures frames from videos for visual analysis. Amazon Bedrock Data Automation handles complex document processing, while Amazon Textract extracts text and data from documents. - Source: dev.to / 3 months ago
AWS has a lot of services for different AI/ML use cases, including Amazon Rekognition for computer vision. I learned that organizations like C-SPAN and the NFL use it to understand what's in their images and video. And Amazon Rekognition is available on the AWS Free Tier, which makes experimenting with it easier. - Source: dev.to / 3 months ago
Recognizing objects or faces in images and videos using Amazon Rekognition. - Source: dev.to / 6 months ago
For those of you who is looking for more detailed information, you can visit the AWS Rekognition Overview and check its Key Features. - Source: dev.to / over 1 year ago
For example, Google Cloud Vision offers a range of APIs for natural language processing, image recognition, and speech-to-text transformation. Microsoft Azure AI Vision supplies powerful tools for analyzing images and videos. API4AI is another platform that provides various AI functionalities such as face recognition, image classification, and document processing. Amazon Rekognition excels in image and video... - Source: dev.to / almost 2 years ago
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Clarifai - The World's AI
BitBucket - Bitbucket is a free code hosting site for Mercurial and Git. Manage your development with a hosted wiki, issue tracker and source code.
Kairos - Facial recognition & mood detection API
VS Code - Build and debug modern web and cloud applications, by Microsoft
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.