# NVIDIA/semantic-segmentation

Nvidia Semantic Segmentation monorepo

Repository: https://github.com/NVIDIA/semantic-segmentation
Canonical: https://ross.abutalabs.com/products/semantic-segmentation
Language: Python
License: BSD-3-Clause
License Family: permissive
Last push: 2021-07-26T23:48:15+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2637, "days_push": 1864, "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 1828, forks 389 (observed 2026-08-28T04:05:41.573687+00:00)

## What it is
NVIDIA's PyTorch monorepo implementing the paper 'Hierarchical Multi-Scale Attention for Semantic Segmentation', with pretrained weights and training/evaluation scripts for Cityscapes and Mapillary. It is research code accompanying a published paper, last released in 2021.

## Use cases
- train a semantic segmentation model on Cityscapes
- run inference with pretrained segmentation weights
- reproduce hierarchical multi-scale attention results
- evaluate segmentation IOU on Mapillary
- dump segmentation output images for inspection

## When to choose
- you want to reproduce the paper's state-of-the-art Cityscapes IOU results
- you need a PyTorch baseline for semantic segmentation research
- you want pretrained segmentation weights for Cityscapes or Mapillary

## When to avoid
- you need a maintained production segmentation library
- you use recent PyTorch versions, since the code targets PyTorch 1.3
- you need segmentation for datasets other than Cityscapes or Mapillary without adaptation

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, image-processing, computer-vision
- domain: computer-vision, deep-learning, machine-learning, image-processing
- platform: python
- tags: semantic-segmentation, pytorch, cityscapes, mapillary, nvidia, research-code, hierarchical-multi-scale-attention, gpu, linux, docker

## Member repositories
- NVIDIA/semantic-segmentation (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:41.573687+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 2026-08-30T03:19:23.569661+00:00, confidence not recorded.
  - readme: https://github.com/NVIDIA/semantic-segmentation (fetched 2026-08-28T04:05:41.573687+00:00, sha 29c86e67af91)
- Data as of 2026-08-30T08:39:29.467469+00:00.