This classifier is trained on CIFAR-10 and predicts one of ten object categories.

• Classes: airplane, automobile, bird, cat, deer, dog, frog, horse, ship, truck.
• Dataset: 60,000 color images at 32x32 resolution.
• Model: a CNN that learns visual features with convolution + pooling layers, then outputs class probabilities.

Tip: paste from clipboard with Ctrl/Cmd+V, or test with real photos from Google Images (for example: "cargo ship", "golden retriever", "fighter jet").