# pierluigiferrari/ssd_keras

A Keras port of Single Shot MultiBox Detector

Repository: https://github.com/pierluigiferrari/ssd_keras
Canonical: https://ross.abutalabs.com/products/ssd_keras
Language: Python
License: Apache-2.0
License Family: permissive
Topics: ssd, keras, ssd-model, object-detection, computer-vision, deep-learning, fcn, fully-convolutional-networks, keras-models, single-shot-multibox-detector
Last push: 2022-04-21T05:18:06+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3440, "days_push": 1595, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1869, forks 918 (observed 2026-08-28T04:05:46.523240+00:00)

## What it is
A Keras implementation of the Single Shot MultiBox Detector (SSD) object detection architecture, with ports of the original trained weights for SSD300, SSD512, and a small SSD7 variant. It is heavily documented and intended for users who want to understand, adapt, or fine-tune the model at a low level.

## Use cases
- train an SSD object detection model in Keras
- fine-tune pretrained SSD weights on my own dataset
- run object detection with a pretrained SSD300 or SSD512 model
- learn how the SSD architecture works at a low level
- build a custom SSD with my own base network
- train a small fast object detector on a mid-tier GPU

## When to choose
- you want an accurate, well-documented SSD implementation in Keras with matching mAP to the original Caffe models
- you need pretrained SSD weights for transfer learning or fine-tuning
- you want to study or modify the SSD architecture in detail

## When to avoid
- you need state-of-the-art detectors like YOLO or transformers instead of SSD
- you use PyTorch rather than Keras/TensorFlow
- you need actively maintained code with support for the latest TensorFlow versions

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, computer-vision, image-processing
- domain: computer-vision, deep-learning, machine-learning, image-processing
- platform: python, cross-platform
- tags: ssd, object-detection, keras, tensorflow, single-shot-multibox-detector, vgg16, transfer-learning, pascal-voc, gpu

## Member repositories
- pierluigiferrari/ssd_keras (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:46.523240+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:15:13.149841+00:00, confidence not recorded.
  - readme: https://github.com/pierluigiferrari/ssd_keras (fetched 2026-08-28T04:05:46.523240+00:00, sha d2d9bd6fa633)
- Data as of 2026-08-30T08:39:29.467469+00:00.