Coggle Reviews

Amazon Rekognition Reviews

Coggle mentions (12)

• I tried and failed

  I find that reflecting on my experiences and going out of my way to really analyze the pitfalls and things done correctly helps a lot. I normally use coggle.it to mind map the whole experience overview and then which elements of the project seemed to be improvements and which parts where potentially poorly executed. I often find a lot more nuance this way than just scanning over it in my head. Source: about 1 year ago

• How do I guide the Web dev?

  In any case, any software that can create a visualization of a tree-like diagram will do the job. I'd recommend https://coggle.it/. Source: almost 2 years ago

• Mind Maps

  I have spent more time than I'd like to admit researching the different programs out there. Mindmup , Coggle, and Mindmesiter came the closest, but definitely not perfect. These are some of the features I am looking for:. Source: almost 2 years ago

• Need help reviewing my thought process around organizing my data

  Did it using https://coggle.it .. I have mindmaps self-hosted too but I feel this is much easier on the eye. Source: almost 2 years ago

• Question: is there a comprehensive list of people who are part of the fandom menace?

  Ah, because I found this mapping website called coggle.it and I was just wondering what if we made a map of including all the members of the fandom menace to see how big and how many members or connections they have, that's all really. Source: about 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 / 3 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 / 12 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: about 1 year 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: over 1 year ago