# GeorgeSeif/Semantic-Segmentation-Suite

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Repository: https://github.com/GeorgeSeif/Semantic-Segmentation-Suite
Canonical: https://ross.abutalabs.com/products/semantic-segmentation-suite
Language: Python
License Family: other
Topics: deep-learning, tensorflow, segmentation, computer-vision, python, semantic-segmentation, densenet, refinenet, encoder-decoder, semantic-segmentation-models, dataset, epoch, upsampling, iou
Archived: true
Last push: 2021-04-22T15:27:04+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3189, "days_push": 1959, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license, no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2519, forks 863 (observed 2026-08-28T04:06:58.222119+00:00)

## Summary
No AI-extracted summary yet.

## Member repositories
- GeorgeSeif/Semantic-Segmentation-Suite (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:58.222119+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Data as of 2026-08-30T08:39:29.467469+00:00.