Roboflow Universe VS ML5.js

Compare Roboflow Universe VS ML5.js and see what are their differences

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Roboflow Universe

You no longer need to collect and label images or train a ML model to add computer vision to your project.

ML5.js

Friendly machine learning for the web

Landing page //
2022-12-11

Landing page //
2021-10-12

Roboflow Universe

Website: universe.roboflow.com
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ML5.js

Website: ml5js.org
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Roboflow Universe features and specs

Wide Range of Datasets
Roboflow Universe offers a diverse collection of public datasets for computer vision tasks, providing pre-labeled data that is useful for training machine learning models.
Community Contribution
The platform allows users to contribute their datasets, fostering a collaborative environment where developers can share resources and enhance the available data pool.
Easy Integration
Roboflow Universe provides tools and integrations that make it convenient to import datasets into various machine learning frameworks, streamlining the start of model training.
Comprehensive Metadata
Datasets come with detailed metadata, including annotations and label formats, which can help in understanding the dataset and ensuring it meets project requirements.
Free Tier Accessibility
The platform offers a free tier that makes it accessible to individual developers and small teams, allowing them to leverage computer vision datasets without cost barriers.

Possible disadvantages of Roboflow Universe

Quality Variability
Since datasets are community-contributed, there may be variability in the quality of the data and annotations, posing potential challenges in ensuring the consistency required for certain projects.
Limited Dataset Sizes
Some datasets may be smaller than needed for high-performance model training, necessitating the need for additional data collection or synthesis efforts.
Dependency on Internet Connectivity
Accessing and using datasets on Roboflow Universe requires a reliable internet connection, which might be a limitation in bandwidth-constrained environments.
Licensing and Usage Restrictions
Certain datasets might have usage restrictions based on their licenses, which could limit their application in commercial projects or require careful consideration of legal terms.
Data Security Concerns
Sharing datasets on a public platform could raise concerns about data security and confidentiality, especially for sensitive or proprietary data.

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.

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ML5.js videos

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ml5.js: Train Your Own Neural Network

Category Popularity

0-100% (relative to Roboflow Universe and ML5.js)

ML5.js

Developer Tools

35 35%

Developer Tools

65% 65

32 32%

68% 68

APIs

100 100%

APIs

0% 0

Data Science And Machine Learning

0 0%

Data Science And Machine Learning

100% 100

User comments

Share your experience with using Roboflow Universe and ML5.js. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Roboflow Universe should be more popular than ML5.js. It has been mentiond 19 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.

Roboflow Universe mentions (19)

Show HN: I am using AI to drop hats outside my window onto New Yorkers
FWIW you can use roboflow models on-device as well. detect.roboflow.com is just a hosted version of our inference server (if you run the docker somewhere you can swap out that URL for localhost or wherever your self-hosted one is running). Behind the scenes it’s an http interface for our inference[1] Python package which you can run natively if your app is in Python as well. Pi inference is pretty slow (probably... - Source: Hacker News / 11 months ago
Show HN: Pip install inference, open source computer vision deployment
It’s an easy to use inference server for computer vision models. The end result is a Docker container that serves a standardized API as a microservice that your application uses to get predictions from computer vision models (though there is also a native Python interface). It’s backed by a bunch of component pieces: * a server (so you don’t have to reimplement things like image processing & prediction... - Source: Hacker News / over 1 year ago
Open discussion and useful links people trying to do Object Detection
* Most of the time I find Roboflow extremely handy, I used it to merge datasets, augmentate, read tutorials and that kind of thing. Basically you just create your dataset with roboflow and focus on other aspects. Source: about 2 years ago
TensorFlow Datasets (TFDS): a collection of ready-to-use datasets
For computer vision, there are 100k+ open source classification, object detection, and segmentation datasets available on Roboflow Universe: https://universe.roboflow.com. - Source: Hacker News / over 2 years ago
Ask HN: Who is hiring? (December 2022)
Roboflow | Multiple Roles | Full-time (Remote) | https://roboflow.com/careers?ref=whoishiring1222 Roboflow is the fastest way to use computer vision in production. We help developers give their software the sense of sight. Our end-to-end platform[1] provides tooling for image collection, annotation, dataset exploration and curation, training, and deployment. Over 100k engineers (including engineers from 2/3... - Source: Hacker News / over 2 years ago

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 / 13 days 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: about 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