Photofield
Self-HostedImmersive 3D open-source photo gallery
Overview
Photofield is an immersive self-hosted photo gallery that transforms your image collection into an interactive 3D grid. It features AI-powered face detection and clustering (via TensorFlow), supports popular formats (JPEG, PNG, RAW), and offers responsive design for mobile/desktop. Deploy easily using Docker—no complex setup needed. Organize photos by date, faces, or tags, and enjoy a stunning browsing experience while keeping your data private on your own server.
Self-Hosting Resources
Below is a reference structure for docker-compose.yml.
⚠️ Do NOT run blindly. Replace placeholders with official values.
version: '3'
services:
photofield:
image: <OFFICIAL_IMAGE_NAME>:latest
container_name: photofield
ports:
- "8080:<APP_INTERNAL_PORT>"
volumes:
- ./data:/app/data
restart: unless-stopped Key Features
- Immersive 3D interactive grid view
- AI-driven face detection & clustering
- Docker-based seamless deployment
Frequently Asked Questions
? Is Photofield easy to install?
Yes—Photofield can be deployed quickly using Docker with a simple command, requiring only basic knowledge of container volume mapping for your photo library.
? Does Photofield support facial recognition?
Absolutely—Photofield uses TensorFlow to detect and cluster faces automatically, helping you find images of specific people easily.
? Is Photofield completely free?
Yes—Photofield is open-source under the MIT License, so it’s free to self-host and use without subscriptions or hidden costs.
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Tool Info
Pros
- ⊕ Privacy-focused self-hosting
- ⊕ Stunning 3D visual experience
- ⊕ Easy Docker setup
Cons
- ⊖ Requires server resources for 3D rendering
- ⊖ Limited advanced editing tools