tonylins/pytorch-mobilenet-v2

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1406 stars · 330 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 MobileNetV2 architecture with automatic download of ImageNet pretrained weights. It reproduces the official TensorFlow accuracy (~71.8% top-1) and includes a training recipe for ImageNet classification.

Use cases

• use mobilenet v2 pretrained weights in pytorch
• implement mobilenetv2 architecture for image classification
• train mobilenet v2 on imagenet
• use a lightweight backbone for object detection or segmentation
• compare model flops and parameters against tensorflow implementation

When to choose

• you need a lightweight, mobile-friendly image classification model in PyTorch
• you want pretrained MobileNetV2 weights with automatic download
• you need a backbone for detection or segmentation tasks

When to avoid

• you need the latest MobileNetV3 or EfficientNet architectures
• you want an actively maintained project with recent updates
• you need TensorFlow or other framework support

Facets

library · maturity maintenance

machine-learning deep-learning machine-learning computer-vision image-processing python mobilenet-v2 pytorch pretrained-model image-classification neural-network

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markdown · JSON · MCP: product_card(name="tonylins/pytorch-mobilenet-v2")