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X-zhangyang/Real-World-Masked-Face-Dataset resource

Real-World Masked Face Dataset,口罩人脸数据集 observed · 2026-08-28

github.com/X-zhangyang/Real-World-Masked-Face-Dataset · Python 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 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2393
  • days_rel: n/a
  • days_push: 651
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2035 stars · 474 forks observed · 2026-08-28

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

A large-scale real-world dataset of masked and unmasked face images, collected and annotated by Wuhan University to support masked face detection, recognition, and verification research. It includes a 525-identity recognition set, simulated masked versions of standard benchmarks (WebFace, LFW, AgeDB-30, CFP-FP), and a verification set of 426 identities with matched/non-matched face pairs.

Use cases

  • train a face recognition model that works when people wear masks
  • find a labeled dataset of masked face images
  • benchmark face verification accuracy under mask occlusion
  • build a mask detection model for access control or gate systems
  • evaluate face recognition on masked vs unmasked face pairs
  • get simulated masked versions of standard face benchmarks like LFW

When to choose

  • you need real-world photos of people wearing masks with identity labels for training or evaluation
  • you want standardized verification pairs comparing masked and normal faces of the same identity
  • you need masked variants of established benchmarks such as LFW, AgeDB-30, or CFP-FP
  • you are researching occlusion-robust biometrics, e.g. for access control, attendance, or gate recognition

When to avoid

  • you need a working algorithm or codebase rather than data - this repo is primarily a dataset with only demos
  • you require a clear open-source license for commercial use - no license is specified in the repository
  • you need general face datasets without masks, or very recent post-pandemic data
  • your project depends on active software maintenance rather than a static data release

Facets

dataset · maturity stable

machine-learning computer-vision image-processing computer-vision machine-learning deep-learning image-processing artificial-intelligence python cross-platform masked-face-dataset face-recognition face-verification face-detection image-dataset covid-19 benchmark-dataset occluded-faces

1 source

Member repositories

RepositoryRoleHealth v2
X-zhangyang/Real-World-Masked-Face-Datasetmain32

For agents

markdown · JSON · MCP: product_card(name="X-zhangyang/Real-World-Masked-Face-Dataset")

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