17
47
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What is NanoNets?

Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.
NanoNets is a tool in the Machine Learning as a Service category of a tech stack.

Who uses NanoNets?

Companies
3 companies reportedly use NanoNets in their tech stacks, including Indra, GridAnts, and ULC Robotics.

Developers
13 developers on StackShare have stated that they use NanoNets.

NanoNets Integrations

Python, Node.js, PHP, Postman, and C# are some of the popular tools that integrate with NanoNets. Here's a list of all 10 tools that integrate with NanoNets.
Pros of NanoNets
7
Simple API
5
Easy Setup
4
Easy to use
3
Fast Training

NanoNets's Features

  • Image categorization API with less than 30 images per category
  • Custom object localization API
  • Text deduplication API
  • Text categorization API

NanoNets Alternatives & Comparisons

What are some alternatives to NanoNets?
Amazon SageMaker
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
Azure Machine Learning
Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
Amazon Machine Learning
This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
Google AI Platform
Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.
Algorithms.io
Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables
See all alternatives

NanoNets's Followers
47 developers follow NanoNets to keep up with related blogs and decisions.