Who should use FaceMesh?

FaceMesh is a consumer product built for researchers, developers, and users analyzing facial images.

Does FaceMesh have a free plan?

Yes — FaceMesh is free to use.

What platforms does FaceMesh run on?

FaceMesh runs on the web and embeddable surfaces.

Is FaceMesh still maintained?

Unverified. FaceMesh has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What projects are similar to FaceMesh?

Similar projects tracked by PulseGate include Magic Face, Mediapipe Face Mesh 3d, and FaceLandmarks.

Who develops FaceMesh?

FaceMesh is developed by akhaliq.

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FaceMesh

Name: FaceMesh
Author: akhaliq

huggingface.coComputer vision, OCR & document AI

FaceMesh is a web app that accepts an uploaded image and draws facial landmarks over detected faces. It helps users inspect facial structure and key points for computer-vision analysis.

FreeWebEmbeddableCloud-managed

Visit huggingface.co

Overview

4 features

FaceMesh sits in PulseGate's Computer vision, OCR & document AI category. It focuses on identifying and analyzing facial landmarks in images without manually marking facial features. FaceMesh is a consumer product aimed at researchers, developers, and users analyzing facial images. It is available for free. It runs on the web and embeddable surfaces.

It is developed by akhaliq. Key capabilities include Image Upload, Face Detection, and Landmark Overlay.

Summary written by a language model from the project’s public pages.

Image Upload
Face Detection
Landmark Overlay
Facial Feature Analysis

Built with & integrations

Hosting

AWS

AI providers

local_oss

Runs on

BrowserEmbeddableCloud-managed

Detected from

AWS: x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss: huggingface in the HTML

Trust & compliance

Verified signals

HTTPSFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed2 Sept · 18:18 UTC
akhaliq/FaceMesh verified via Hugging Face Enumerator
Source: Hugging Face Enumerator · Open

Frequently asked questions about FaceMesh

What does FaceMesh do?: FaceMesh focuses on identifying and analyzing facial landmarks in images without manually marking facial features. It is catalogued under Computer vision, OCR & document AI on PulseGate.
Who should use FaceMesh?: FaceMesh is a consumer product built for researchers, developers, and users analyzing facial images.
Does FaceMesh have a free plan?: Yes — FaceMesh is free to use.
What platforms does FaceMesh run on?: FaceMesh runs on the web and embeddable surfaces.
Is FaceMesh still maintained?: Unverified. FaceMesh has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to FaceMesh?: Similar projects tracked by PulseGate include Magic Face, Mediapipe Face Mesh 3d, and FaceLandmarks.Magic Face Mediapipe Face Mesh 3d FaceLandmarks
Who develops FaceMesh?: FaceMesh is developed by akhaliq.

At a glance

Platforms: Web
Languages: English
First seen: 2 Sept 2026
Built for: researchers, developers, and users analyzing facial images
Model: B2C
Solves: Identifying and analyzing facial landmarks in images without manually marking facial features.

Registered as

Hugging Face Spaces: akhaliq/FaceMesh

Developer

akhaliq

Index record

Indexed: 2 Sept 2026
Lifecycle: Alive
First seen: Sept 2026
Last seen: 2 Sept 2026

Identity audit (13)

Slug: akhaliq-facemesh-huggingface-co
Lifecycle last checked: 8 Sept 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 2 Sept 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Derived from the project's own page and URL.
Category from: Recorded source: taxonomy-pass-b.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 2 Sept 2026
Canonical URL: https://huggingface.co/spaces/akhaliq/FaceMesh

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