google-research/big_transfer

Health v2 · maintenance only

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1541 stars · 175 forks observed · 2026-08-28

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

Official repository for the Big Transfer (BiT) paper, providing ResNet models pre-trained on ImageNet and ImageNet-21k for transfer learning. It includes fine-tuning code and pretrained weights in TensorFlow 2, PyTorch, and Jax/Flax.

Use cases

• fine-tune a pretrained image classifier on my own small dataset
• classify images with only a few labeled examples per class
• use ImageNet-21k pretrained ResNet weights in PyTorch or TensorFlow
• benchmark transfer learning on VTAB datasets
• get strong visual representations for downstream vision tasks

When to choose

• you need high-quality pretrained CNN weights for image classification with limited data
• you want fine-tuning code across TF2, PyTorch, and Jax
• you want to reproduce BiT paper results

When to avoid

• you need transformer-based vision models like ViT or CLIP
• you need actively developed features or new architectures
• your task is not image classification or visual representation learning

Facets

library · maturity maintenance

machine-learning image-processing deep-learning computer-vision machine-learning deep-learning python transfer-learning pretrained-models resnet imagenet tensorflow2 pytorch jax fine-tuning computer-vision gpu

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markdown · JSON · MCP: product_card(name="google-research/big_transfer")