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README.md

API4AI furniture & household stuff recognition samples

This directory contains a minimalistic sample that sends requests to the API4AI Furniture & Household Stuff Recognition API. The sample is implemented in Swift using URLSession class.

Overview

The The Furniture & Household Stuff Recognition API offers a complete solution for for the identification and counting furniture and other household items in images. Its algorithm is trained on hundrends of stuff items covering a significant part of potential images.

Getting started (XCode)

Open sample.xcodeproj project in XCode as usual and click "Run".

Optionally you may specify image URL or path to image file as application argument via "Product -> Scheme -> Edit scheme...".

Getting started (Command line)

Build in Release configuration:

xcodebuild -scheme sample build -configuration Release SYMROOT=$(PWD)/build

Try sample with default args:

./build/Release/sample

Try sample with your local image:

./build/Release/sample image.jpg

About API keys

⚠️ This demo by default sends requests to free endpoint at demo.api4ai.cloud. Demo endpoint is rate limited and must not be used in real projects.

✅ The primary entry point for accessing API is the API4AI Developer Portal. Here, you can obtain your own API key to send requests, set up billing, and monitor usage. API is available on a pay-as-you-go model. Simply top up your balance and consume any API at any time you want.

🐙 An alternative way to access APIs is through Rapid API Hub (also known as Nokia API Hub), a well-known public API hub and marketplace where you can find solutions developed by the API4AI team, as well as from other vendors if you wish. To get started, register at RapidAPI, obtain an API key, and subscribe to the API. API at RapidAPI is available via a subscription-based model, with free plans also offered. Subscriptions are fully managed by RapidAPI.

Contact us in case of any questions or to request a custom pricing plan that better meets your business requirements.

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