Amazon Rekognition
Clarifai
Google Vision AI
Kairos
OpenCV
Microsoft Computer Vision API
Trueface Visionbox
Social Mapper
SendGrid
MailChimp
Brevo
Mailgun
Mailjet
Campaign Monitor
MailerLite
Amazon SES
Amazon Rekognition SendGridBased on our record, SendGrid should be more popular than Amazon Rekognition. It has been mentiond 106 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 / about 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
To send e-mails in a production environment, use services like Sendgrid. - Source: dev.to / about 2 months ago
Now we need to install React Hook Form because that is the package we are going to use for building our form. We also need to install the package for SendGrid. Cd into the sendgrid-contact-form folder and then run this command to install the packages:. - Source: dev.to / 2 months ago
We used Sendgrid , but recently moved to LeadGenFusion. Source: 5 months ago
Formspark is a great service for this with a generous free tier. If you end up scaling up and need more and/or advanced transactional emails you may consider an email API like SendGrid, Amazon SES, or Waypoint. Source: 7 months ago
SendGrid. An industry-leading email API with good deliverability and a comprehensive suite of analytics. - Source: dev.to / 7 months ago
Clarifai - The World's AI
MailChimp - MailChimp is the best way to design, send, and share email newsletters.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Brevo - Innovative online Email Marketing solution to manage your contacts, create & send your newsletters and track your results. More than 80 000 clients. Best prices and attractive features.
Kairos - Facial recognition & mood detection API
Mailgun - A set of powerful APIs that enable you to send, receive and track email from your app effortlessly whether you use Python, Ruby, PHP, C#, Node.js or Java.