HRNet/HRNet-Image-Classification

Health v2 · maintenance only

Adoption not part of the score

1056 stars · 219 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Official PyTorch implementation and training code for HRNet (High-Resolution Network) image classification models on ImageNet. It provides model definitions, training scripts, and pretrained checkpoints of HRNet backbones with a classification head.

Use cases

• train an image classification model on ImageNet
• get HRNet pretrained backbone weights for transfer learning
• use HRNet as a backbone for detection or segmentation
• compare high-resolution network accuracy against ResNet
• export HRNet models to ONNX
• find small efficient classification models with ResNet18-level cost

When to choose

• you need a strong high-resolution backbone for downstream vision tasks like pose estimation or segmentation
• you want pretrained ImageNet weights with competitive top-1 accuracy
• you need a ResNet replacement backbone in PyTorch

When to avoid

• you need a maintained general-purpose model zoo or modern training framework
• you want inference-only deployment without training code
• you need models beyond classification such as detection heads included out of the box

Facets

library · maturity maintenance

machine-learning deep-learning image-processing computer-vision computer-vision image-processing deep-learning machine-learning python hrnet image-classification imagenet pytorch backbone-network pretrained-models computer-vision linux gpu

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markdown · JSON · MCP: product_card(name="HRNet/HRNet-Image-Classification")