Zehaos/MobileNet

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1659 stars · 468 forks observed · 2026-08-28

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

A TensorFlow implementation of Google's MobileNets, efficient convolutional neural networks for mobile vision applications, including ImageNet training scripts, pretrained weights, and speed benchmarks. It also includes experimental object detection training on the KITTI dataset.

Use cases

• train mobilenet on imagenet with tensorflow
• get pretrained mobilenet weights for image classification
• benchmark mobilenet inference speed on cpu and gpu
• implement efficient cnns for mobile vision applications
• train an object detection model on kitti
• experiment with quantized and fused batch norm inference

When to choose

• you need a standalone TensorFlow 1.x MobileNet implementation with pretrained ImageNet weights
• you want to reproduce or study the MobileNet paper with training and benchmark scripts
• you need a starting point for MobileNet-based detection on KITTI

When to avoid

• you need the official, maintained MobileNet implementation - use tensorflow/models slim instead
• you work with TensorFlow 2.x or Keras applications
• you need actively maintained code or recent GPU support

Facets

library · maturity abandoned

machine-learning deep-learning image-processing computer-vision machine-learning computer-vision image-processing python tensorflow mobilenet convolutional-neural-networks imagenet object-detection slim multigpu pretrained-models linux gpu

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markdown · JSON · MCP: product_card(name="Zehaos/MobileNet")