Software Alternatives, Accelerators & Startups

ML5.js VS AWS DeepLens

Compare ML5.js VS AWS DeepLens and see what are their differences

ML5.js logo ML5.js

Friendly machine learning for the web

AWS DeepLens logo AWS DeepLens

Deep learning enabled video camera for developers
  • ML5.js Landing page
    Landing page //
    2021-10-12
  • AWS DeepLens Landing page
    Landing page //
    2023-03-20

ML5.js features and specs

  • Ease of Use
    ml5.js is designed with simplicity in mind, making machine learning accessible to artists, creative coders, and students, even those without a robust background in AI or machine learning.
  • Browser-based
    Operates directly in the browser, eliminating the need for any additional setup or dependencies, which makes it highly compatible with web projects.
  • Pre-trained Models
    Includes a variety of pre-trained models for quick implementation of complex machine learning tasks like image classification, pose detection, and text generation.
  • Community and Documentation
    Strong community support and well-documented guides and examples help new users get started quickly and find solutions to common issues.
  • Integration with p5.js
    Integrates seamlessly with p5.js, a popular JavaScript library for creative coding, facilitating the development of interactive and visually engaging applications.

Possible disadvantages of ML5.js

  • Performance Limitations
    Since it runs in the browser, it may not be suitable for performance-intensive applications or those requiring real-time processing of large datasets.
  • Limited Customization
    While it offers pre-trained models, there is limited functionality for training new models from scratch compared to more comprehensive libraries like TensorFlow.js.
  • Dependency on Web Standards
    Depends on the performance and capabilities of the client's browser, which can vary significantly between different users and devices.
  • Size of Models
    Some pre-trained models can be quite large, which may affect loading times and performance on slower network connections or less powerful devices.
  • Scope
    Focused on high-level tasks and applications, which might not be sufficient for advanced machine learning requirements or niche functionalities outside its provided models.

AWS DeepLens features and specs

  • Ease of Use
    AWS DeepLens is designed to be user-friendly, especially for developers who may not have extensive expertise in machine learning. It provides sample projects and comes integrated with AWS services, making it easier to develop and deploy deep learning models.
  • Integration with AWS Ecosystem
    DeepLens is tightly integrated with the AWS ecosystem, allowing easy use of other AWS services such as AWS Lambda, Amazon S3, and Amazon SageMaker to enhance functionality, manage datasets, and deploy models.
  • Real-time Computer Vision
    AWS DeepLens is capable of processing data in real-time with on-device computing. This can be beneficial for applications that require immediate analysis without reliance on network connectivity.
  • Educational Tool
    DeepLens serves as a powerful educational tool that enables developers to understand and experiment with deep learning and computer vision concepts in a practical context.

Possible disadvantages of AWS DeepLens

  • Limited Hardware
    The hardware capacity of AWS DeepLens can be a limitation when compared to more powerful devices, which may restrict the complexity and scale of models that can be run on the edge device.
  • Cost
    While AWS DeepLens offers powerful features, it may be considered costly for some users, especially when compared to other edge devices which offer similar functionalities.
  • Steep Learning Curve for Complex Models
    Even though it is user-friendly for beginners, implementing complex deep learning models with AWS DeepLens may require significant expertise and a learning curve to optimize performance properly.
  • Dependence on AWS
    While integration with AWS services is an advantage, it also means that users become dependent on AWS for various functionalities, which may not be ideal for those wanting to avoid vendor lock-in.

Analysis of ML5.js

Overall verdict

  • ML5.js is considered a good tool for web developers who want to incorporate machine learning into their projects without needing extensive knowledge of the underlying algorithms. It's particularly noted for its simplicity and ease of use.

Why this product is good

  • ML5.js is a high-level JavaScript library built on top of TensorFlow.js. It is designed to make machine learning accessible to web developers with minimal expertise in machine learning or deep learning. The library provides easy-to-use functions for tasks such as image and video classification, pose detection, text generation, and more. Its simplicity and ease of integration make it ideal for rapid prototyping and educational purposes.

Recommended for

    ML5.js is recommended for educators, beginners, artists, and developers who want to quickly implement machine learning models in web applications. It is also suitable for creative coding projects and interactive applications where simplicity and ease of use are important.

ML5.js videos

ml5.js: Train Your Own Neural Network

More videos:

  • Review - ml5.js: Image Classification with MobileNet
  • Review - Image classification to gif with ML5.js | Vue.js Virtual Meetup

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

Category Popularity

0-100% (relative to ML5.js and AWS DeepLens)
AI
71 71%
29% 29
Developer Tools
100 100%
0% 0
Data Science And Machine Learning
Productivity
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, ML5.js should be more popular than AWS DeepLens. It has been mentiond 10 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.

ML5.js mentions (10)

  • How AI is Transforming Front-End Development in 2025!
    Ml5.js: Built on top of TensorFlow.js, it provides a user-friendly interface for implementing machine learning in web applications.​. - Source: dev.to / about 2 months ago
  • Riffr - Create Photo Montages in the Browser with some ML Magic✨
    Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc. - Source: dev.to / over 2 years ago
  • Brain.js: GPU Accelerated Neural Networks in JavaScript
    See also: https://ml5js.org/ "The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.". - Source: Hacker News / almost 3 years ago
  • [Showoff Saturday] I made a captcha prototype that requires a banana
    I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there. Source: over 3 years ago
  • My First 30 Days of 100 Days of Code.
    Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all. - Source: dev.to / over 3 years ago
View more

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 / over 1 year 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 2 years ago
  • Getting Started Machine Learning with AWS
    AWS DeepLens - Deep learning enabled video camera for developers - AWS (amazon.com). - Source: dev.to / about 3 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 3 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 / about 4 years ago

What are some alternatives?

When comparing ML5.js and AWS DeepLens, you can also consider the following products

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Lobe - Visual tool for building custom deep learning models

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Deep Learning Gallery - A curated list of awesome deep learning projects

Apple Machine Learning Journal - A blog written by Apple engineers

Deep learning chat - Chatting with a deep learning chatbot