Software Alternatives, Accelerators & Startups

AWS DeepLens VS Algorithmia

Compare AWS DeepLens VS Algorithmia and see what are their differences

AWS DeepLens logo AWS DeepLens

Deep learning enabled video camera for developers

Algorithmia logo Algorithmia

Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
  • AWS DeepLens Landing page
    Landing page //
    2023-03-20
  • Algorithmia Landing page
    Landing page //
    2023-09-14

Algorithmia

$ Details
Release Date
2014 January
Startup details
Country
United States
State
Washington
City
Seattle
Founder(s)
Diego Oppenheimer
Employees
10 - 19

AWS DeepLens videos

AWS DeepLens Powered Cat Flap

More videos:

  • Review - Using AWS DeepLens to Detect Vehicle Type
  • Review - AWS re:Invent 2017 - Announcing AWS DeepLens

Algorithmia videos

How To Color Black and White Photos Automatically: Algorithmia Review

More videos:

  • Tutorial - How to Colorize Black and White photos online - Algorithmia Review (TopTen AI)
  • Review - Algorithmia | Getting started: Pipelines and MLOps

Category Popularity

0-100% (relative to AWS DeepLens and Algorithmia)
AI
100 100%
0% 0
Data Science And Machine Learning
Data Science Notebooks
0 0%
100% 100
Productivity
100 100%
0% 0

User comments

Share your experience with using AWS DeepLens and Algorithmia. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Algorithmia might be a bit more popular than AWS DeepLens. We know about 5 links to it since March 2021 and only 5 links to AWS DeepLens. 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 DeepLens mentions (5)

  • Beginning the Journey into ML, AI and GenAI on AWS
    AWS provides various services for Machine Learning and Artificial Intelligence, including Amazon SageMaker, AWS DeepLens, AWS DeepComposer, Amazon Forecast and more. Familiarize yourself with the services available to determine which ones suit your specific needs. - Source: dev.to / 5 months ago
  • Smart Vision? I actually want to try this out.
    Take a look at AWS deeplens. You might be able to make something work out of it. https://aws.amazon.com/deeplens/. Source: over 1 year ago
  • Getting Started Machine Learning with AWS
    AWS DeepLens - Deep learning enabled video camera for developers - AWS (amazon.com). - Source: dev.to / over 2 years ago
  • Im trying to self teach myself as a hobby but getting overwhelmed with where to start.
    So Amazon has this thing called Deep Lens. Https://aws.amazon.com/deeplens/ Basically, it's a really dinky computer with all the things needed to do Machine Learning with image recognition. It comes with several projects that all are about how to program it, and how to run machine learning enabled image recognition projects (including 'Hotdog-Not A Hotdog'!). It's an expense, but it would enable what you're... Source: over 2 years ago
  • AWS Machine Learning Tools in 2021
    AWS DeepLens is a hardware offering from AWS. It comes with a fully programmable camera you can use to train Machine Learning models for your specific task. Tutorials and guides also accompany this to get started right away. - Source: dev.to / over 3 years ago

Algorithmia mentions (5)

What are some alternatives?

When comparing AWS DeepLens and Algorithmia, you can also consider the following products

Lobe - Visual tool for building custom deep learning models

Managed MLflow - Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Kur - Deep Learning made easy

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Deep learning chat - Chatting with a deep learning chatbot

MCenter - Machine Learning Operationalization