Based on our record, GoodBrief should be more popular than Amazon Rekognition. It has been mentiond 56 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.
It depends on what sort of clients/industry you are targeting, use this to generate ideas: (https://goodbrief.io). Source: 12 months ago
Take a look at the kind of company youd want to work at as a junior designer. Then go over to https://goodbrief.io/ and try to do a full project. Source: about 1 year ago
Hi - I personally like your personal brand work and your Digimune piece. As a young designer, you're doing a good job of showing your thought process..if im looking for a mid-level designer thats what I'm looking for. The porfolio is a bit light...So I would use some off time to add personal projects. Some great tools out there can help you speed up the process. I use https://goodbrief.io/ on occasion to help me... Source: about 1 year ago
So far I've been working with Good Brief, https://goodbrief.io, for logo design but find the briefs are limited with information. Source: about 1 year ago
It's been a while that I wanted to make my own portfolio but of course, I needed some work first so I worked on this fictional project, Wine. (I took a brief from that site goodbrief.io) Wine is a company that has a chain of stores where they sell second-hand clothing, they stand out for their quality and uniqueness, they want to communicate innocence and at the same time being fresh. Also, their main target is a... Source: about 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 / 3 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 / 11 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
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