mcordts/cityscapesScripts resource
README and scripts for the Cityscapes Dataset observed · 2026-08-28
Health v2 · maintenance only
50/100
- Activity 40
- Release rhythm 35
- Longevity 100
Flags: no_releases
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: 3847
- days_rel: n/a
- days_push: 361
- n_releases_24m: 0
Adoption not part of the score
2346 stars · 608 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Official scripts and documentation for the Cityscapes Dataset, a large-scale collection of stereo street-scene videos from 50 cities with pixel-level semantic annotations. The repository provides tools for downloading, preparing, inspecting, and evaluating the dataset for computer vision research.
Use cases
- download and prepare the cityscapes dataset for semantic segmentation training
- evaluate semantic segmentation predictions against cityscapes ground truth
- convert cityscapes polygon annotations to label images
- work with pedestrian bounding box annotations from citypersons
- inspect cityscapes 3d bounding box vehicle annotations
- set up folder structure for cityscapes stereo video sequences
When to choose
- you are training or benchmarking semantic segmentation models on urban street scenes
- you need the official evaluation scripts for cityscapes benchmark submissions
- you want to convert or inspect the dataset's json polygon annotations
When to avoid
- you need a general-purpose image annotation tool rather than cityscapes-specific scripts
- your dataset is not cityscapes and you only want generic segmentation utilities
- you want the dataset images themselves - these are scripts, downloaded separately from the website
Facets
dataset · maturity stable
computer-vision image-processing data-science parser developer-tools computer-vision machine-learning autonomous-vehicles image-processing python cross-platform cli semantic-segmentation street-scenes benchmark annotation-tools evaluation-scripts autonomous-driving datasets
2 sources
- readme: https://github.com/mcordts/cityscapesScripts · fetched 2026-08-28 · 937c4b948329
- registry_pypi: https://pypi.org/pypi/cityscapesscripts/json · fetched 2026-08-29 · dc6d090d98ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| mcordts/cityscapesScripts | main | 50 |
For agents
markdown · JSON · MCP: product_card(name="mcordts/cityscapesScripts")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem