# emilwallner/Coloring-greyscale-images

Coloring black and white images with deep learning.

Repository: https://github.com/emilwallner/Coloring-greyscale-images
Canonical: https://ross.abutalabs.com/products/coloring-greyscale-images
Language: Python
License: MIT
License Family: permissive
Topics: jupyter-notebook, keras, deep-learning, colorization, tensorflow, tutorial
Last push: 2024-01-22T06:17:09+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3292, "days_push": 954, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1053, forks 221 (observed 2026-08-28T04:03:23.908093+00:00)

## What it is
A tutorial repository that teaches how to colorize black and white images with deep learning, built progressively in four versions (alpha, beta, full, GAN) using Keras and TensorFlow. It accompanies a Medium article and includes Jupyter notebooks plus pre-trained GAN weights.

## Use cases
- learn how to colorize black and white photos with neural networks
- understand LAB color space conversion in image colorization
- follow a step-by-step deep learning image-to-image tutorial
- experiment with a GAN for image colorization
- get started with Keras and TensorFlow on a visual task

## When to choose
- you want to learn image colorization concepts from scratch
- you prefer incremental, notebook-based tutorials
- you want runnable code with pre-trained weights to experiment with

## When to avoid
- you need production-quality colorization of arbitrary photos
- you want a maintained library or API rather than educational code
- you need reliable, high-fidelity results on diverse images

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, image-processing, machine-learning
- domain: deep-learning, image-processing, tutorials
- platform: python
- tags: colorization, keras, tensorflow, jupyter-notebook, tutorial, gan, computer-vision, gpu

## Member repositories
- emilwallner/Coloring-greyscale-images (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:23.908093+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 2026-08-30T06:59:21.264065+00:00, confidence not recorded.
  - readme: https://github.com/emilwallner/Coloring-greyscale-images (fetched 2026-08-28T04:03:23.908093+00:00, sha 9bd4ff31a5aa)
- Data as of 2026-08-30T08:39:29.467469+00:00.