Introducing the All-New Fashion API

We're thrilled to announce the relaunch of our Fashion API — now upgraded from a simple image classifier to a powerful clothing and accessory detection model. This isn't just an update; it's a complete transformation in how you can analyze fashion in images.

What's New?

From Classification to Object Detection

The previous version of our Fashion API was an image classification model. It could tell you what kind of fashion image you were looking at, but that was about it.

Fashion API

The new Fashion API is a full-fledged object detection solution. It doesn't just classify — it:

  • Detects multiple items in a single image
  • Localizes each item with precise bounding boxes
  • Identifies the type of clothing or accessory
  • Provides confidence scores for each detection

This means you can now analyze complex fashion photography with multiple garments and accessories, getting detailed information about each item's location and type.

What Can It Detect?

Our new model recognizes a wide variety of apparel and accessories:

Clothing Accessories
Shirt Hat
Sweater Scarf
Coat Belt
Top Sunglasses
Skirt Handbag
Trousers Shopping bags
Jeans Shoe

...and more! The model is trained to identify the most common fashion items you'd encounter in real-world imagery.

How It Works

The API is incredibly simple to use. Send an image (via file upload or URL), and receive a structured JSON response containing all detected fashion items with their:

  • Class label — the type of clothing or accessory
  • Confidence score — how certain the model is (0 to 1)
  • Bounding box — precise coordinates for each detected item

Quick Example (Python)

import requests

response = requests.post( 'https://demo.api4ai.cloud/fashion/v2/results', data={'url': 'https://static.api4.ai/samples/fashion-2.jpg'} )

# Parse detected objects with confidence > 50% for obj in response.json()['results'][0]['entities'][0]['objects']: classes = obj['entities'][0]['classes'] label = list(classes.keys())[0] confidence = list(classes.values())[0] if confidence > 0.5: print(f"Detected: {label} ({confidence:.0%})")

Quick Example (cURL)

$
curl -X "POST" \
  "https://demo.api4ai.cloud/fashion/v2/results" \
  -F "url=https://static.api4.ai/samples/fashion-2.jpg"

Use Cases

The new Fashion API opens doors to numerous applications:

  • E-commerce — Automatically tag and categorize product images
  • Fashion Search — Build visual search engines for clothing
  • Inventory Management — Automate garment identification in warehouses
  • Social Media Analytics — Analyze fashion trends from user-generated content
  • Retail Analytics — Understand what customers are wearing in-store
  • Content Moderation — Identify specific clothing items in uploaded images

Multi-Platform Support

We provide ready-to-use code samples in the most popular languages and frameworks:

Check out our examples repository on GitLab to get started in minutes with your preferred stack.

Getting Started

Try It Free

You can test the API immediately using our demo endpoint:

https://demo.api4ai.cloud/fashion/v2/results

⚠️ The demo endpoint is rate-limited and intended for testing only.

Production Access

For production use, get your API key from the API4AI Developer Portal. We offer a flexible pay-as-you-go pricing model — simply top up your balance and use any of our APIs whenever you need.

RapidAPI Alternative

Prefer subscription-based pricing? Access our Fashion API through RapidAPI, where free plans are also available.

Try the Interactive Demo

Want to see it in action before writing any code? Visit our Fashion API page and try the interactive demo. Upload your own images or use our samples to see real-time detection with bounding boxes.

You can also test it via our Telegram bot: @a4a_fashion_bot


Conclusion

The new Fashion API represents a major leap forward — from basic image classification to sophisticated object detection with localization. Whether you're building an e-commerce platform, a fashion discovery app, or retail analytics tools, this API provides the foundation you need.

Ready to get started? Sign up at the API4AI Developer Portal and start detecting fashion in minutes.


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