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1try (ResNet model = ResNet.fromPretrained("models/resnet50")) {
2 List<Classification> results = model.classify(Path.of("cat.jpg"));
3 results.forEach(c -> System.out.printf("%s: %.2f%%%n", c.label(), c.score() * 100));
4}| Property | Value |
|---|---|
| Architecture | ResNet-50 (50 layers, residual connections) |
| Task | Image classification (ImageNet 1000 classes) |
| Input | [batch, 3, 224, 224] — RGB, ImageNet-normalized |
| Output | [batch, 1000] — class probabilities |
| Original framework | ONNX Model Zoo |