How To Build Facial Recognition From Scratch In Python (Tutorial / Easy)

1. Easily build facial recognition ML script in Python.

🥇92 00:00

The video provides a step-by-step tutorial on building a facial recognition ML script in Python, making it accessible and easy for beginners to follow.

• The tutorial includes explanations on how facial recognition works and provides all the necessary code for the script.
• By the end of the video, viewers will have their own script capable of identifying faces within a photo.

2. Understanding embeddings and similarity search.

🥈88 01:25

The content explains the concept of embeddings as vector representations and how they are used for similarity search in facial recognition.

• The video provides a simple example to illustrate how embeddings work using sentences and words.
• It emphasizes the importance of embeddings in calculating the similarity of images for facial recognition.

3. Provisioning a vector database for embeddings.

🥇91 06:57

The tutorial demonstrates the process of provisioning a vector database through Ivan for storing facial embeddings, making it simple and accessible.

• Viewers are guided through the steps of creating a project, setting up a Postgres SQL service, and connecting to the database.
• The video highlights the ease of using Ivan for hosting data and adds a layer of abstraction on top of other Cloud database providers.

4. Converting images into embeddings for facial recognition.

🥈89 10:25

The content provides a practical demonstration of converting images into embeddings and storing them in a vector database for facial recognition purposes.

• The tutorial includes the necessary code and steps for converting images into embeddings and conducting similarity searches.
• It showcases the capability of the script to accurately match faces from different photos using embeddings.