Why it matters

Image classification serving is core CV. Batching + quantization drive throughput.

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The architecture

Image → preprocess → model → class.

Batching efficient.

INT8 for edge.

Image classification servingPreprocessresize, normalizeModel forwardResNet, ViT, EfficientNetClass + confidenceoutputONNX Runtime + TensorRT + INT8 = fast serving on edge and cloud
Image classification serving.
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How it works end to end

ResNet, EfficientNet, ViT.

ONNX + TensorRT.

INT8 for edge.