amdegroot/ssd.pytorch

Health v2 · maintenance only

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Adoption not part of the score

5221 stars · 1723 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A PyTorch implementation of the Single Shot MultiBox Detector (SSD) object detection model from the 2016 paper by Wei Liu et al. It includes training and evaluation scripts for the VOC and COCO datasets, pretrained VGG-16 base weights, and live loss visualization via Visdom.

Use cases

• train an SSD object detection model in PyTorch
• detect objects in images with a single-shot detector
• evaluate object detection on Pascal VOC or COCO
• reproduce SSD paper results in PyTorch
• fine-tune SSD on a custom dataset
• run real-time object detection from a webcam

When to choose

• you want a faithful PyTorch port of the original SSD architecture
• you need to train or evaluate SSD on VOC or COCO
• you're studying or teaching single-shot object detection implementations

When to avoid

• you need state-of-the-art detection accuracy (newer models like YOLO or DETR outperform SSD)
• you need actively maintained code with recent PyTorch version support
• you need production-ready detection pipelines rather than a research reference implementation

Facets

library · maturity maintenance

machine-learning computer-vision image-processing computer-vision deep-learning machine-learning image-processing python cross-platform object-detection ssd pytorch vgg16 pascal-voc coco single-shot-detector gpu

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markdown · JSON · MCP: product_card(name="amdegroot/ssd.pytorch")