About Object Detector

Object Detector is a free, browser-based tool that uses artificial intelligence to detect and identify objects in your images. Powered by the COCO-SSD deep learning model running on TensorFlow.js, it can recognize over 80 different object categories.

How It Works

Our tool uses the COCO-SSD (Common Objects in Context - Single Shot MultiBox Detector) neural network model. When you upload an image, the AI analyzes it directly in your browser and draws labeled bounding boxes around every detected object, along with confidence scores.

What It Can Detect

The COCO-SSD model is trained on 80 object categories including:

People: person
Vehicles: bicycle, car, motorcycle, airplane, bus, train, truck, boat
Animals: bird, cat, dog, horse, sheep, cow, elephant, bear, zebra, giraffe
Everyday objects: chair, couch, bed, dining table, toilet, TV, laptop, phone, book, clock
Food: banana, apple, sandwich, orange, pizza, donut, cake
And many more...

Key Features

AI-Powered Detection: Uses a state-of-the-art neural network for accurate object recognition
Multiple Object Detection: Identifies and labels all objects in a single image
Confidence Filtering: Adjustable confidence threshold to control detection sensitivity
Color-Coded Results: Each object category gets a unique color for easy identification
Downloadable Results: Save annotated images with bounding boxes and labels
100% Private: All processing happens locally in your browser
No Registration: Use it instantly without creating an account

Technology

Object Detector is built with modern web technologies:

TensorFlow.js: Machine learning framework for browser-based AI
COCO-SSD Model: Pre-trained object detection model
Canvas API: For rendering detection results with bounding boxes
HTML5 & CSS3: Modern, responsive user interface

Privacy First

Your images are never uploaded to any server. The AI model runs entirely in your browser using TensorFlow.js, ensuring complete privacy. No data is collected, stored, or shared with third parties.