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Dog vs Cat AI
Classify with webcam or photo upload
Click or drag and drop a photo
How It Works
Our Dog vs Cat AI Classifier uses a machine learning model trained with Google's Teachable Machine and runs on TensorFlow.js. The entire classification process happens in your browser, meaning your photos are never uploaded to any server. Your privacy is fully protected.
Two ways to classify:
- Webcam Mode: Grant camera access and get real-time, continuous classification as you point your camera at a dog or cat. Confidence scores update live.
- Upload Mode: Click or drag-and-drop any image file. The AI will analyze it instantly and show you the result with a confidence percentage.
The model outputs a confidence score for each category (dog and cat), displayed as visual progress bars so you can see exactly how certain the AI is about its prediction.
Tips for Best Results
- Use clear, well-lit photos for the most accurate classification.
- The AI works best when the animal is the main subject of the image.
- Both close-up portraits and full-body shots are supported.
- For webcam mode, ensure your camera has permission enabled in your browser settings.
Frequently Asked Questions
How does the AI classifier work?
The classifier uses a convolutional neural network trained with Google's Teachable Machine. The model runs entirely in your browser via TensorFlow.js, analyzing pixel data from images to determine whether the subject is a dog or cat.
Are my photos uploaded to a server?
No. All image processing happens locally in your browser using client-side machine learning. Your photos never leave your device, ensuring complete privacy.
What animals can it identify?
The current model is trained specifically to distinguish between dogs and cats. It may produce unpredictable results for other animals or non-animal images.
Does the webcam mode work on mobile?
Yes, webcam mode works on mobile devices that have a camera and support the browser getUserMedia API. Most modern mobile browsers support this feature.
How accurate is the classifier?
The model achieves high accuracy on clear images of dogs and cats. The confidence percentage displayed tells you how certain the AI is about its prediction. Well-lit, focused images yield the best results.