KaimingHe/deep-residual-networks resource

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6753 stars · 2231 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

The official repository for the original ResNet-50, ResNet-101, and ResNet-152 models from the paper 'Deep Residual Learning for Image Recognition', converted to Caffe format. It provides pretrained models used to win ILSVRC and COCO 2015 competitions, intended for testing or fine-tuning rather than training.

Use cases

• download pretrained resnet-50 models for image classification
• fine-tune resnet on my own image dataset
• reproduce imagenet classification results from the resnet paper
• use resnet as a feature extractor backbone for object detection
• compare caffe model weights for resnet-101 and resnet-152

When to choose

• you need the original, canonical ResNet model weights from the authors
• you work in Caffe and want pretrained ResNets for testing or fine-tuning
• you want to cite or reproduce the exact ILSVRC/COCO 2015 winning models

When to avoid

• you want training code - use third-party re-implementations like fb.resnet.torch or PyTorch/TensorFlow versions
• you work in modern frameworks like PyTorch or TensorFlow rather than Caffe
• you need actively maintained code with recent updates

Facets

dataset · maturity maintenance

deep-learning machine-learning image-processing computer-vision deep-learning computer-vision image-processing machine-learning cpp resnet caffe pretrained-models image-classification imagenet research-paper-models gpu linux

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markdown · JSON · MCP: product_card(name="KaimingHe/deep-residual-networks")