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skin-color-estimation

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software/skin-color-estimation

An implementation of two academic papers on determining skin colour pixels of images. Used to determine individual typology angle (ITA).

Machine-generated from the listed sources and not yet reviewed by a human.

skin-color-estimation project image
GitHub preview card for gitUmaru/skin-color-estimation. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/gitUmaru/skin-color-estimation
Documentation
unknown
Tags
color · dermatology · skin
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

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    [ICCV 2023] Self-supervised Semantic Segmentation: Consistency over Transformation

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    CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions

  • CIRCLedermatology

    CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions. Mirror of https://github.com/arezou-pakzad/CIRCLe

  • decentralizedAI_dermatologydermatology

    Experiments of the DAI in Healthcare project - skin lesions images use case - using Flower

sources
  1. api.github.com/repos/gitUmaru/skin-color-estimation
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2022-01-19, 7 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/2.json→ .entries["skin-color-estimation"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.