+
+

Related Products

  • Qloo
    23 Ratings
    Visit Website
  • Nutrient SDK
    111 Ratings
    Visit Website
  • DXcharts
    28 Ratings
    Visit Website
  • Apify
    1,714 Ratings
    Visit Website
  • pCloud Business
    189 Ratings
    Visit Website
  • SDS Manager
    4 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Highcharts
    123 Ratings
    Visit Website
  • Nasdaq Metrio
    14 Ratings
    Visit Website

About

ConvNetJS is a Javascript library for training deep learning models (neural networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. The library allows you to formulate and solve neural networks in Javascript, and was originally written by @karpathy. However, the library has since been extended by contributions from the community and more are warmly welcome. The fastest way to obtain the library in a plug-and-play way if you don't care about developing is through this link to convnet-min.js, which contains the minified library. Alternatively, you can also choose to download the latest release of the library from Github. The file you are probably most interested in is build/convnet-min.js, which contains the entire library. To use it, create a bare-bones index.html file in some folder and copy build/convnet-min.js to the same folder.

About

The leading platform for entire computer vision lifecycle. Iterate from image annotation to accurate neural networks 10x faster. With our best-in-class data labeling tools transform your images / videos / 3d point cloud into high-quality training data. Train your models, track experiments, visualize and continuously improve model predictions, build custom solution within the single environment. Our self-hosted solution guaranties data privacy, powerful customization capabilities, and easy integration into your technology stack. A turnkey solution for Computer Vision: multi-format data annotation & management, quality control at scale and neural networks training in end-to-end platform. Inspired by professional video editing software, created by data scientists for data scientists — the most powerful video labeling tool for machine learning and more.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers, professionals and researchers seeking a solution for training deep learning models

Audience

Organizations or students that need a web annotation, labeling, and machine learning platform

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

ConvNetJS
cs.stanford.edu/people/karpathy/convnetjs/

Company Information

Supervisely
Founded: 2017
United States
supervise.ly/

Alternatives

Alternatives

Deci

Deci

Deci AI

Categories

Deep Learning Supported
Neural Network Supported

Categories

Computer Vision Supported
Data Annotation Supported
Data Labeling Supported
Image Annotation Supported
Image Recognition Supported
Machine Learning Supported
Neural Network Supported
Video Annotation Supported

Computer Vision Features

Blob Detection & Analysis Supported
Building Tools Supported
Image Processing Supported
Multiple Image Type Support Supported
Reporting / Analytics Integration Supported
Smart Camera Integration Supported

Data Labeling Features

Human-in-the-loop Not Supported
Labeling Automation Supported
Labeling Quality Supported
Performance Tracking Not Supported
Polygon, Rectangle, Line, Point Not Supported
SDK Not Supported
Supports Audio Files Supported
Task Management Supported
Team Collaboration Supported
Training Data Management Not Supported

Integrations

Qwen3-Omni Supported

Integrations

Qwen3-Omni Not Supported
Claim ConvNetJS and update features and information
Claim ConvNetJS and update features and information
Claim Supervisely and update features and information
Claim Supervisely and update features and information