Lateral vs NanoNets | What are the differences? | StackShare

Lateral vs NanoNets

Overview

Lateral

Stacks3

Followers16

Votes0

NanoNets

Stacks17

Followers47

Votes19

Lateral vs NanoNets: What are the differences?

Lateral: The ultimate API for recommending your content. Delight your users with personalised content recommendations. It's easy to set up and works with or without collaborative data. The Lateral API is trained on 10s of millions of high quality documents from law, academia and journalism. It can understand any document and provide intelligent recommendations; NanoNets: Machine learning API with less data. 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.

Lateral and NanoNets can be categorized as "Machine Learning as a Service" tools.

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Detailed Comparison

Lateral	NanoNets
Delight your users with personalised content recommendations. It's easy to set up and works with or without collaborative data. The Lateral API is trained on 10s of millions of high quality documents from law, academia and journalism. It can understand any document and provide intelligent recommendations.	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.
-	Image categorization API with less than 30 images per category;Custom object localization API;Text deduplication API;Text categorization API
Statistics
Stacks 3	Stacks 17
Followers 16	Followers 47
Votes 0	Votes 19
Pros & Cons
No community feedback yet	Pros 7 Simple API 5 Easy Setup 4 Easy to use 3 Fast Training
Integrations
No integrations available	Ruby Golang Objective-C Postman PHP Swift Python Node.js C# Airtable

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