Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)
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Updated
Oct 17, 2023 - Python
Official implementation of NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)
A streamlined tool for efficient vehicle plate detection and extraction, harnessing advanced image processing techniques.
A PowerShell module that wraps the Nanonets REST API.
A test NPM package to use the Nanonets OCR API.
NanoNets' Optical Character Recognition and Image Classification Node.js SDK.
A sample web app using NanoNets' OCR and Image Classification Node.js SDK.
A python wrapper for the Nanonets API
Passport Data Extractor is an Airtable block that uses Nanonets OCR API to extract relevant information from Passport Images that are part of a base.
NanoNets OCR API Example for Python
NanoNets API Reference.
NanoNets' Image Classification Node.js SDK.
NanoNets' Optical Character Recognition Node.js SDK.
A simple OCR app build using the Nanonets OCR API.
Invoice Processing with Python and Nanonets
Nanonets. Build your own Cracked Screen Detection Model
A Raspberry Pi powered mirror with AI for real-time clothing recognition with audio feedback
NanoNets Object Detection API Example for Python
NanoNets Image Classification API Example for Python
NanoNets Object Detection API Example for Node.js
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