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fizyr/keras-retinanet

Keras implementation of RetinaNet object detection. observed · 2026-08-28

github.com/fizyr/keras-retinanet · Python · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

23/100

  • Activity 0
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3306
  • days_rel: n/a
  • days_push: 1266
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

4383 stars · 1914 forks observed · 2026-08-28

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

A Keras/TensorFlow implementation of the RetinaNet object detection model with focal loss, supporting training and inference on custom datasets. The repository is deprecated in favor of torchvision's object detection module.

Use cases

  • train a custom object detection model in Keras
  • detect objects in images with RetinaNet
  • implement focal loss for dense object detection
  • fine-tune RetinaNet on MS COCO
  • convert a trained detection model for inference

When to choose

  • you are locked into Keras 2.4 / TensorFlow 2.3 and need RetinaNet
  • you need a reference implementation of focal loss-based detection
  • you want to train object detection on custom annotated datasets

When to avoid

  • starting a new project - use torchvision's detection module instead
  • you need support for recent TensorFlow or Keras versions
  • you need actively maintained code or bug fixes

Facets

library · maturity abandoned

machine-learning deep-learning computer-vision image-processing computer-vision machine-learning deep-learning python object-detection retinanet keras tensorflow deprecated focal-loss gpu

2 sources

Member repositories

RepositoryRoleHealth v2
fizyr/keras-retinanetmain23

For agents

markdown · JSON · MCP: product_card(name="fizyr/keras-retinanet")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem