Google Vision AI is recommended for businesses and developers who need advanced image and video analysis, such as e-commerce platforms, media companies, and developers building apps with visual recognition features, as well as researchers and industries requiring detailed image data processing.
You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Based on our record, Amazon AWS should be more popular than Google Vision AI. It has been mentiond 446 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.
In my limited experience, Google Cloud Vision API was much better than Tesseract: https://cloud.google.com/vision#demo. - Source: Hacker News / about 2 months ago
There are services which are specialized in providing alternative text in multiple languages such as AI Alt Text and of course, there are the big players such as Google Geminis Vision AI or Open AI. - Source: dev.to / 2 months ago
Out of all the tools in this list, Google Cloud Functions is the best for image analysis. While AWS Lambda is good for processing images, Google Cloud Functions is the perfect choice for applications that require image analysis because of its integration with Google Cloud Vision API. It is excellent for building social media applications and applications with face recognition. Here are its key features:. - Source: dev.to / 2 months ago
Some Google APIs accept more than one type of credentials. For example, while you'd typically use service accounts with the GCP Cloud Vision API, sending an image (rather than reading a file from someone's Google Drive or a GCP project's Cloud Storage bucket) is considered "public data," so an API key works. - Source: dev.to / 3 months ago
1. Google Cloud Vision API (https://cloud.google.com/vision?hl=en). - Source: Hacker News / 4 months ago
Teachers, freelancers, and inbox zero purists rejoice: I built EmailDrop, a one-click AWS deployment that turns incoming emails into automatic Google Drive uploads. With Postmark's new inbound webhooks, AWS Lambda, and a little OAuth wizardry, attachments fly straight from your inbox to your Google Drive. In this post, I’ll walk through how I built it using Postmark, CloudFormation, Google Drive, and serverless... - Source: dev.to / 8 days ago
AWS, short for Amazon Web Services, offers over 200 powerful cloud services. And among them, Amazon Q stands out as one of the best tools they’ve introduced recently. Why? Because it’s not just another AI, it’s your superpowered generative AI coding assistant that actually understands how developers work. - Source: dev.to / 10 days ago
Create an AWS Account: If you don’t already have one, sign up at aws.amazon.com. The free tier provides 750 hours per month of a t2.micro or t3.micro instance for 12 months. - Source: dev.to / 18 days ago
Sign in to your AWS account. If you’re new to AWS, you can sign up for the free tier to get started without any upfront cost. - Source: dev.to / about 1 month ago
Amazon Web Services (AWS) has completely changed the game for how we build and manage infrastructure. Gone are the days when spinning up a new service meant begging your sys team for hardware, waiting weeks, and spending hours in a cold data center plugging in cables. Now? A few clicks (or API calls), and yes — you've got an entire data center at your fingertips. - Source: dev.to / about 1 month ago
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Clarifai - The World's AI
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
OpenCV - OpenCV is the world's biggest computer vision library
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.