@pipedream/api4ai
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Pipedream API4AI Components
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# Overview
⭐️ **Furniture & Household Items Recognition** – is an accurate identification of furniture and household items with advanced intelligent detection, categorization, and counting technologies.
The Furniture & Household Items Recognition offers AI-driven image analysis, ideal for identifying household items in photos. It streamlines inventory management for interior design, real estate, retail, and enhances service efficiency for moving companies.
✅ Our solution provides immediate, out-of-the-box support for a wide array of furniture and household items, encompassing more than 200 distinct categories. Designed to meet diverse needs, it simplifies inventory management and enhances cataloging processes for businesses and developers.
✅ The algorithm employs advanced logic to automatically count items, seamlessly integrating this capability. Consequently, our API meticulously generates a comprehensive JSON output, detailing each identified item along with its precise corresponding quantities.
## 🤖 Demo
Explore the Furniture & Household Items Recognition Web demo for free before delving into the details (no registration is required): https://api4.ai/apis/household-stuff#demo-wrapper
# Getting started
## 🚀 Subscribe and get API key
To use Furniture & Household Items Recognition, start at [RapidAPI](https://rapidapi.com/), a well-known API hub. Register, subscribe to begin, and obtain an API key:
1. Register on RapidAPI and subscribe to API4AI [Furniture & Household Items Recognition API](https://rapidapi.com/api4ai-api4ai-default/api/furniture-and-household-items/pricing) to start.
2. Navigate to the [Furniture & Household Items Recognition API endpoints](https://rapidapi.com/api4ai-api4ai-default/api/furniture-and-household-items) list.
3. In the "Header Parameters" section, your API Key will be shown in the `X-RapidAPI-Key` field.
## 🛠 Parameters
### API Key
An API Key is required. Register and subscribe on RapidAPI to receive one.
### Image
Input image. Various types are accepted:
* a **path** to a file
```
/tmp/myfile.jpg
```
* a **URL** to a file
```
https://storage.googleapis.com/api4ai-static/samples/nsfw-1.jpg
```
* a file's content encoded as a **base64** string
```
iVBORw0KGgoAAAANSUhEUgAABdwAAAPoCAYAAADEDjzlAAEAAElEQVR4nO...
```
* a file's content as a **Buffer** encoded in JSON
```json
{
"type": "Buffer",
"data": [255,216,255,224,0,16,74,70,73,70,0,1,1,0,...]
}
```
* a file's content as an **Array** of bytes
```json
[255,216,255,224,0,16,74,70,73,70,0,1,1,0,0,1,0,1,0,0,,...]
```
## ↩️ Returned values
The "Furniture & Household Items Recognition" action returns the following value:
* `items` (object) – An object containing the items found (keys) and their respective counts (values).
**Example**
```json
{
"3-seater sofa": 1,
"Carpet": 1,
"Chair": 2,
"Chandelier": 1,
"Painting": 1,
"Table": 1
}
```