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resnet50-v1-7
inference4j/resnet50-v1-7
resnet50-v1-7 is a image classification model from inference4j. Use it when you need a label for an image. It is set up for onnx. The card lists the license as mit.
ONNX export of ResNet-50, a deep residual network for image classification trained on ImageNet. 50-layer variant with 1000-class output.
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Public
Updated Feb 13, 2026
Repo size
103 MB
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At a glance
- Task
- Image Classification
- Library
- onnx
- License
- mit
- Access
- Public
- Created
- Feb 13, 2026
- Updated
- Feb 13, 2026
- SHA
- 9bf5b557
Model card
From the Hugging Face model README
ResNet-50 v1.7 — ONNX
ONNX export of ResNet-50, a deep residual network for image classification trained on ImageNet. 50-layer variant with 1000-class output.
Mirrored for use with inference4j, an inference-only AI library for Java.
Original Source
- Repository: ONNX Model Zoo
- License: mit
Usage with inference4j
try (ResNet model = ResNet.fromPretrained("models/resnet50")) {
List<Classification> results = model.classify(Path.of("cat.jpg"));
results.forEach(c -> System.out.printf("%s: %.2f%%%n", c.label(), c.score() * 100));
}
Model Details
| 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 |
License
This model is licensed under the MIT License. Original model from the ONNX Model Zoo.
- Task
- Image Classification
- Library
- onnx
- License
- mit
- Created
- Feb 13, 2026
- Updated
- Feb 13, 2026