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Amazon Rekognition might be a bit more popular than Lambda Face Recognition API. We know about 33 links to it since March 2021 and only 25 links to Lambda Face Recognition API. 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 1 month 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 / 9 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 / 12 months 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
How does this compare to https://lambdalabs.com/. - Source: Hacker News / 9 months ago
Another option is to pay for AWS server with a beefy GPU and enough RAM. It's not too cheap, but isn't expensive either if you aren't planning to run it 24/7. Or get a GPU cluster from a company that offers stuff for ML specifically, it might be easier to set up compared to AWS and in some cases cheaper. Like, for example, lambdalabs that offers H100 gpu for 2 bucks per hour. Source: 10 months ago
I used some of the cloud GPUs on Vast.ai, but I also tried Lambda Labs, and these days I have my own docker container setup which can be deployed to a VM on Google Cloud and used more programatically. Source: 12 months ago
Lambda | Full-Time | Software Engineers | Remote US & Canada | https://lambdalabs.com/ We are looking for talented software engineers to join our team. We're currently hiring for multiple engineering positions and more. Lambda is a fast growing startup providing deep learning hardware, software, and cloud services to the world's leading companies and research institutions. Lambda’s mission is to create a world... - Source: Hacker News / 12 months ago
LambdaLabs has been good to me so far. Cheap pricing, easy spin up, and no bullshit about applying to use a GPU. Source: about 1 year ago
Clarifai - The World's AI
PixLab - PixLab is a machine learning SaaS platform which offer computer vision and media processing APIs.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
OpenFace - OpenFace is an open source face recognition solution with deep neural networks.
OpenCV - OpenCV is the world's biggest computer vision library
Kairos - Facial recognition & mood detection API