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tangzhenyu/SemanticSegmentation_DL resource

Resources of semantic segmantation based on Deep Learning model observed · 2026-08-28

github.com/tangzhenyu/SemanticSegmentation_DL · Jupyter Notebook observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3285
  • days_rel: n/a
  • days_push: 2003
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1102 stars · 312 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of papers, survey articles, and dataset links for semantic segmentation with deep learning, plus some Jupyter Notebook implementations. It serves primarily as a reference list rather than a production software tool.

Use cases

  • find datasets for training a semantic segmentation model
  • survey deep learning papers on semantic segmentation
  • get started learning image segmentation with deep learning
  • compare segmentation benchmarks like Cityscapes, ADE20K, and VOC2012
  • find reference implementations of segmentation models in notebooks

When to choose

  • you need a curated index of segmentation datasets and papers
  • you are researching or learning semantic segmentation techniques
  • you want quick links to benchmarks like PASCAL VOC, Cityscapes, or COCO-Stuff

When to avoid

  • you need a maintained, production-ready segmentation library
  • you require a licensed, supported codebase for deployment
  • you need actively updated state-of-the-art model implementations

Facets

learning-resource · maturity maintenance

computer-vision image-processing machine-learning deep-learning computer-vision machine-learning deep-learning autonomous-vehicles tutorials python cross-platform semantic-segmentation awesome-list datasets papers jupyter-notebook survey

1 source

Member repositories

RepositoryRoleHealth v2
tangzhenyu/SemanticSegmentation_DLmain32

For agents

markdown · JSON · MCP: product_card(name="tangzhenyu/SemanticSegmentation_DL")

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