xiaolai-sqlai/mobilenetv3

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1864 stars · 345 forks observed · 2026-08-28

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

A PyTorch implementation of the MobileNetV3 architecture with retrained pre-trained weights that outperform the original paper and torchvision baselines. It includes training code, pre-trained checkpoints, and training logs for ImageNet classification.

Use cases

• use mobilenetv3 pretrained weights in pytorch
• train mobilenetv3 on imagenet
• lightweight image classification model for mobile
• reproduce mobilenetv3 training results
• fine-tune a small efficient image classifier

When to choose

• you need MobileNetV3 in PyTorch with strong pre-trained weights
• you want training code to reproduce or fine-tune the model
• you need an efficient classifier for edge or mobile deployment

When to avoid

• you need other architectures or TensorFlow implementations
• you want a maintained general-purpose vision model zoo (use timm or torchvision)
• you need inference-only deployment tooling

Facets

library · maturity maintenance

machine-learning deep-learning image-processing deep-learning computer-vision image-processing python mobilenetv3 pytorch pretrained-models image-classification computer-vision gpu

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markdown · JSON · MCP: product_card(name="xiaolai-sqlai/mobilenetv3")