Amazon Rekognition
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Amazon Rekognition BrevoBased on our record, Amazon Rekognition should be more popular than Brevo. It has been mentiond 33 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 / 2 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 / 10 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: 11 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
If you want more smooth delivery process you can also use SMTP relay services like AWS SES, sendinblue.com, smtp2go.com. Source: 12 months ago
This is essentially a watered down version of the "MVC" architecture. I use http lib of node for server and requests, cheerio for webscraping and Sendinblue for sending the emails and mongodb (atlas) for storing all of the data. I am a beginner in backend tech, so I am tryna learn, open to any input. Source: over 1 year ago
I got it working with sendinblue.com it allows up to 300 per day and is not hassle at all to setup! :). Source: over 1 year ago
In the mean time, I got integration working with sendinblue.com, which was fairly easy. Source: over 1 year ago
Always use a specific service for newsletters and transactional emails, such as Mailchimp or Sendinblue. - Source: dev.to / over 1 year ago
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
MailChimp - MailChimp is the best way to design, send, and share email newsletters.
Clarifai - The World's AI
Campaign Monitor - Email marketing software built for designers and their clients to run successful email campaigns.
Kairos - Facial recognition & mood detection API
MailerLite - Affordable Email Marketing Software. Get all features (Segmentation, Automation, A/B testing) for up to 1,000 subscribers & send unlimited emails for free!