# MobileNet-SSD Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/mobilenet-ssd
> Markdown URL: https://aitinkerers.org/technologies/mobilenet-ssd.md
> Technology record last updated: 2026-03-03T04:02:06Z
> Generated: 2026-10-24T20:00:34Z

MobileNet-SSD is a lightweight, single-shot object detection network engineered for high-speed, real-time performance on resource-constrained mobile and embedded devices.

This is a high-efficiency object detection model, pairing the MobileNet backbone with the Single Shot MultiBox Detector (SSD) framework. The MobileNet component utilizes depthwise separable convolutions, drastically reducing computational cost and parameter count for deployment on edge devices. SSD enables a single forward pass to predict bounding boxes and class probabilities, eliminating slow region proposal steps. This architecture delivers fast inference speeds (high FPS) and a low memory footprint; one Caffe implementation achieved a 0.727 mAP on the VOC0712 dataset, confirming its reliable accuracy for real-time applications like security systems and augmented reality.

- Official technology site: https://github.com/chuanqi305/MobileNet-SSD
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Real-Time Snooker Table Understanding with PyTorch, MobileNet-SSD, and Jetson Devices](https://hong-kong.aitinkerers.org/talks/rsvp_R8OKuhCvMWw)

- Event context: AI Tinkerers Hong Kong: Deep Dive Series — Technical Lessons from Shipping AI/ML/CV — 2025-12-18 — Hong Kong
- Public talk page: https://hong-kong.aitinkerers.org/talks/rsvp_R8OKuhCvMWw

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