Brandfolder
Bynder
Venngage
Pics.io
Filecamp
ContentRaven
Tandem Vault
MediaHaven
Amazon Rekognition
Clarifai
Google Vision AI
Kairos
OpenCV
Trueface Visionbox
Microsoft Computer Vision API
Social Mapper
Brandfolder Amazon RekognitionBased on our record, Amazon Rekognition seems to be a lot more popular than Brandfolder. While we know about 33 links to Amazon Rekognition, we've tracked only 3 mentions of Brandfolder. 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.
Two of them are brandfolder.com and https://www.frontify.com/en/ are two of the platforms that have placed themselves as a place to manage full branding content. Also, I believe that Canva is not too far behind with its interface. Their coining this as Digital Asset Management. Source: about 1 year ago
Here’s a good example. Brandfolder’s primary brand color is a turquoise blue but their website uses purple and dark blue in varying shades. https://brandfolder.com/. Source: about 1 year ago
Market Leader Https://brandfolder.com/ ("best", expensive, custom quotes as it locks-in enterprise clients) example of use: https://brandfolder.com/riboliwines/riboliestatesgroup. Source: over 1 year ago
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: 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 / 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
Bynder - Bynder is a cloud-based digital asset management solution for marketing professionals looking to simplify how they manage digital content via one central portal.
Clarifai - The World's AI
Venngage - Join over 1 million people creating their own professional graphics with our easy to use infographic maker. Sign up for free and choose from 1000+ infographic templates.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Pics.io - Pics.io is a cloud service that people can use to manage their creative content and files, collaborate with their peers on this content, and then share it with their clients. Read more about Pics.io.
Kairos - Facial recognition & mood detection API
