skin-color-estimation
importedsoftware/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.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Documentation
- unknown
- Tags
- color · dermatology · skin
- Regulatory
- unknown
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.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- skinopticsdermatology · skin
SkinOptics is an open source Python package with tools for building human skin computational models for Monte Carlo simulations of light transport, as well as tools for analyzing simulation outputs.…
- SSCTskin
[ICCV 2023] Self-supervised Semantic Segmentation: Consistency over Transformation
- CIRCLedermatology
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
- DermaSwarmdermatology
DermaSwarm is a production-grade multi-agent system designed for dermatologists to collaboratively diagnose and treat skin conditions. Leveraging the power of AI-driven agents, DermaSwarm…
- api.github.com/repos/gitUmaru/skin-color-estimationretrieved 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 →
/v1/entries/2.json→ .entries["skin-color-estimation"]
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