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What is LibrePhotos?

LibrePhotos serves as a self-hosted substitute for Google Photos, featuring impressive visual displays, and it is derived from Ownphotos. This open-source platform for photo management employs a Django backend paired with a React frontend, facilitating straightforward installation through comprehensive documentation. It accommodates various photo formats, including raw images and videos, and offers a timeline view along with support for multiple users. Users have the ability to create albums focused on particular events, such as "Thursday in Berlin," and can take advantage of sophisticated features like face recognition, face classification, reverse geocoding, object and scene detection, as well as semantic image search and search by metadata. For optimal functionality, it is advisable to utilize a system with an x86 processor and a minimum of 8GB of RAM, along with at least 10GB of hard drive space for Docker images and machine learning models. Moreover, the system also creates a database and thumbnails that demand additional storage space, and it operates using separate backend and frontend servers to maximize efficiency. This architecture not only enables effective management of photo collections but also provides users with valuable analytical insights to enhance their experience. Consequently, LibrePhotos stands out as a powerful tool for individuals seeking both organization and advanced capabilities in their photo management endeavors.

What is Lambda Face Recognition API?

Sign up today to start using Lambda's facial recognition and detection API. Our platform allows you to simply input a URL to check for celebrity appearances in images. You can also try out our face detection API; by uploading a photo through the provided form, we will identify any faces present, mark their locations, and highlight features like the eyes, nose, and mouth. To use the API, you will need to obtain a Mashape Key, which involves registering for our service. Creating an album to store a collection of labeled images is crucial for improving the recognition of new, unseen images. Let’s kick off your first album by adding several labeled images to enhance accuracy. The more images you contribute, either through URLs or file uploads, the better the model's effectiveness will be. After you upload these images, guide the album to create a model based on your selections. Finally, when you submit an image for recognition, you can choose to use either URLs or files, which will significantly increase the flexibility of your image recognition capabilities. This streamlined process ensures that you can quickly adapt and refine your approach to image analysis as needed.

Media

Media

Integrations Supported

Docker
Google Photos

Integrations Supported

Docker
Google Photos

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$9 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

LibrePhotos

Company Website

docs.librephotos.com

Company Facts

Organization Name

Lambda

Date Founded

2012

Company Location

United States

Company Website

lambdalabs.com/face-recognition-api

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

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Azure Face API

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