metadata

title: Korean Object Detection
emoji: 👀
colorFrom: yellow
colorTo: yellow
sdk: static
pinned: false
license: cc-by-sa-4.0
short_description: Real-time object detection using COCO-SSD in the browser

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Korean Object Detection App (COCO-SSD)

This project is a real-time object detection web app that overlays Korean vocabulary labels on top of detected objects using the COCO-SSD model (TensorFlow.js). It’s built for both AI experimentation and Korean language learning — with mobile-first optimization and Docker deployment.

🧠 Why This is Awesome

This isn’t just an object detector — it’s a language learning tool.

You point your camera at real objects — a cup, a dog, a book — and it teaches you the Korean word for each one in real time. Think of it like flashcards... but in your actual house.

Perfect for:

Korean learners
Tourists in Seoul
Kids growing up abroad
Anyone who hates memorizing vocab lists

🌐 Tech Stack

COCO-SSD — real-time object detection via TensorFlow.js
HTML Canvas — draws bounding boxes and Korean labels

📱 Mobile Optimization

Resolution capped at 640×480
Inference runs every ~300ms
Lightweight canvas redraw
Runs well on iOS Safari (maybe a little slow)

🇰🇷 Korean Vocabulary Mapping

All 80 COCO-SSD object classes are labeled in Korean (with fallback to English). Example:

{
  "dog": "강아지",
  "person": "사람",
  "book": "책",
  "cell phone": "휴대폰"
}

✨ Future Features

TOPIK level filtering
Audio pronunciation (TTS)
Vocabulary challenges
Voice-based guessing game
“Kid Mode” with points & stickers

🛠 Maintainer

Made with frustration, triumph, and lots of 사랑 by Ramsi K.