Object Detection
Detect everyday objects in images or live video using COCO-SSD — entirely in your browser.
Loading COCO-SSD model (~5MB)...
Loaded once, then cached by your browser.
How to use
- 1
Choose Upload Image or Live Camera.
- 2
Wait for the model to detect objects.
- 3
See bounding boxes and a sidebar list of confidences.
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AI Object Detection Online — Real-time Detection Free
Detect and identify objects in images or live video using AI. Powered by TensorFlow.js COCO-SSD. Recognizes 80 object categories. Works in your browser.
Upload an image or enable your camera for real-time object detection. The AI draws bounding boxes around detected objects and labels them with confidence percentages. Detected objects are also listed in a sidebar for easy reference.
The COCO-SSD model can recognize 80 common object categories including people, vehicles, animals, furniture, food and everyday items. The model runs entirely in your browser using TensorFlow.js — no images are sent to any server.
Frequently Asked Questions
What objects can the AI detect?
The model recognizes 80 object categories from the COCO dataset including person, car, bicycle, dog, cat, chair, bottle, laptop, phone and many more common objects.
How accurate is the detection?
Accuracy varies by object and image quality. Well-lit, clear images of common objects typically achieve 70-95% confidence. The model works best with objects clearly visible and not overlapping.
Does real-time camera detection affect privacy?
No. All processing happens locally in your browser using TensorFlow.js. Camera frames are never sent to Skycally's servers.
Why does the model take time to load?
The COCO-SSD model is approximately 25MB and loads once when you first visit the page. Subsequent uses within the same session are instant.