shicai/MobileNet-Caffe resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1274 stars · 689 forks observed · 2026-08-28

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

A Caffe implementation of Google's MobileNet v1 and v2 architectures with pretrained ImageNet model weights. It includes evaluation scripts for single-image classification and instructions for finetuning on custom datasets.

Use cases

• run mobilenet image classification with caffe
• download pretrained mobilenet v1 v2 weights for imagenet
• finetune mobilenet on my own image dataset
• evaluate a caffe image classification model on a single image
• use lightweight cnn for mobile vision applications

When to choose

• you need pretrained MobileNet weights in Caffe format
• you are deploying efficient image classification on mobile or embedded devices with Caffe
• you want a starting point to finetune MobileNet on custom data

When to avoid

• you work in PyTorch, TensorFlow, or ONNX rather than Caffe
• you need state-of-the-art accuracy rather than a lightweight model
• you need actively maintained code - the project is in maintenance mode

Facets

dataset · maturity maintenance

machine-learning deep-learning image-processing computer-vision deep-learning computer-vision image-processing python cpp cross-platform mobilenet caffe pretrained-models imagenet model-weights image-classification mobile-vision

Member repositories

For agents

markdown · JSON · MCP: product_card(name="shicai/MobileNet-Caffe")