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Simplifying Real Estate Listings Tasks with Super Fast and Efficient AI Image Classification

An artificial intelligent agent automatically classifying an image of a house livingroom and placing it into a folder labeled "livingroom"
An artificial intelligent agent automatically classifying an image of a house livingroom and placing it into a folder labeled "livingroom"

Ever had one of those days where you’re knee-deep in property photos, trying to label each room for a listing and thinking, “There has to be a better way”? Well, you’re not alone, and guess what—the better way is already here!

Meet Your New Assistant: The House Room Classifier

Think of the last time you sorted through a stack of photos, trying to organise them into various categories. Now, imagine if you had a tool that could do all that sorting and labeling for you, at the click of a button. It’s like having a super-efficient assistant who never gets tired. That’s exactly what the House Room Classifier does.

FastAI & Gradio: The Dream Team

If you’ve never heard of FastAI or Gradio, let me introduce you to the tech behind this magic. FastAI is like the friendly neighborhood guide to the world of deep learning. It takes something complex and makes it simple and fun. And then there’s Gradio—it turns your sophisticated model into something anyone can use, creating a web interface that’s as easy as using a smartphone app.

House Room Classification

Real Estate Bliss with Machine Learning

So what does this mean for our real estate mavens? Let’s break it down:

  1. Supercharge Your Listings: Upload property pictures onto the site and watch as they are neatly labeled without you lifting a finger.
  2. Spot-On Rental Inspections: Say goodbye to the mix-ups in inspection reports. With this tool, every room is identified correctly, making your reports spot-on every time.
  3. User-Friendly Websites: Customers listing new properties will love how easy it is to upload photos and have them automatically tagged. It’s a win-win for everyone.
  4. Strategic Insights: Wondering what’s trending? The classified images pool into a goldmine of data, helping you make more informed decisions.
  5. Grow Without the Growing Pains: From small-scale to high-volume listings, this classifier handles it all effortlessly.
  6. Save That Coin: Streamlining the process with technology means saving money in the long term. It’s smart business sense.

Try It Out Yourself!

Don’t just take my word for it, though. Check out the House Room Classifier in action with this working demo and prepare to be amazed. It’s like seeing the future of real estate unfold before your eyes.

If you’re the kind who likes to tinker with things, you’re in luck. You can download the app repo right here and play around with it. Who knows, you might just come up with the next big thing!

Below is a peak into the simplicity of deploying such a classifier:

from import *
import gradio as gr
import os

# Load the learner model
learn_inf = load_learner("model/model.pkl")

# Categories from the trained model's data
categories = learn_inf.dls.vocab

# Convert categories to a string format suitable for display
categories_str = ", ".join(categories[:-1]) + " or " + categories[-1]

# Function to classify the uploaded image
def classify_image(img):
    pred, idx, probs = learn_inf.predict(img)
    return {f"{categories[idx]}": float(probs[idx])}

# Setup Gradio interface elements
image = gr.Image(sources=["upload"], label="Image")
label = gr.Label()

# Gather example images for the interface
examples = []
for file in os.listdir("images/examples"):
    if file.endswith(".jpg"):

# Create the Gradio interface
iface = gr.Interface(
    title="<h1>House Room Classifier</h1>",
    description='<p style = "font-size: 1.4rem;">This model classifies a photo of a house room as either <strong>' + categories_str + '</strong>.</p><p style = "font-size: 1.2rem;">Upload an image or use the examples below.</p>',

# Launch the application

The application described above not only showcases FastAI’s machine learning prowess but also demonstrates how Gradio makes it accessible to users with no ML background.

Even More Possibilities

Imagine a world where you could upload a whole bunch of images at once and have them automatically sorted and filed away into folders named after the room types. It’s entirely possible with a bit of tweaking to this app code. It’s all about making life easier, one photo at a time…or many!

And for the businesses out there thinking, “This is cool, but what about my unique needs?”—we’ve got you covered. If you’re intrigued by the potential and wondering if something similar can supercharge your operations, we’re here to help. Whether it’s a custom project or just some brainstorming on how machine learning can fit into your business, reach out to us at Pixel Key, and let’s make it happen.

In Conclusion

It’s time to embrace the future and let technology take the wheel, at least when it comes to sorting through endless stacks of property images. The house room image classifier is just the beginning. With a bit of imagination and the right tools, the possibilities are endless. So, let’s get creative and let machine learning open doors to a world of efficiency and innovation.


A shout out to Robinreni on Kaggle for providing the public domain dataset used to train this model. Also a shout out to the team at for their amazing AI courses and brilliant work!

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