FakeClients Reviews

Amazon Rekognition Reviews

FakeClients mentions (10)

• Advice for a lost high schooler :’)

  So, assuming you’re going to apply to design programs, be proactive and start designing stuff on your own. You can find design briefs at goodbrief.io, fakeclients.com, and sharpen.design. Source: about 1 year ago

• Are design competitions worth competing and investing in?

  Are design contests worth entering? If your hope is that a company will see your contest entry and decide to hire you, probably not. Contests may be helpful, though more for developing a designer's skills and giving them a winning or placing entry that they can use to promote as opposed to gaining organic notoriety from the contest itself. It is true, though, that being able to promote oneself as an... Source: about 2 years ago

• Portfolio Advice for New Designers

  • use sites like https://dailylogochallenge.com, https://goodbrief.io, https://www.briefbox.me, and https://fakeclients.com to develop projects for fictional clients (more on which types of fictional clients and pieces to include is in the next section). Source: about 2 years ago

• what makes a good graphic design portfolio?

  Work/Portfolio – Basics• do not overload your portfolio with too much of one type of client, application/use (brochure, signage, packaging, etc.), or style – showing a hiring manager your ability to adapt to the needs of different types of clients and projects is a key in getting hired• avoid rebranding existing companies, especially large, household name entities• thumbnails tend to work best when they are filled... Source: about 2 years ago

• I’m a beginner in logo design, how would you guys continue?

  But yeah, logos should fill a need, send a message. Try generating a brief on https://fakeclients.com and test your design skills from the description it gives you. Source: over 2 years ago

Amazon Rekognition mentions (33)

• Afraid of outgrowing AWS Rekognition? Try YOLO in Lambda.

  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

• Amazon Rekognition Custom Labels for Bears

  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

• “During a gold rush, sell shovels.” What are the shovels in the AI rush?

  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

• Serverless Facial Recognition Voting Application Using AWS Services

  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

• Amazon Prime Video playback features

  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