---
title: "10-Minute Tour"
description: "Welcome to Pixeltable! In this tutorial, we'll survey how to create tables, populate them with data, and enhance them with built-in and user-defined transformations and AI operations."
url: "https://www.pixeltable.com/notebooks/ten-minute-tour"
updated: "2026-09-03"
---

# 10-Minute Tour

Welcome to Pixeltable! In this tutorial, we'll survey how to create tables, populate them with data, and enhance them with built-in and user-defined transformations and AI operations.

- **Type:** Notebook
- **Group:** Tutorials

## What it covers

- Creating a table
- Adding computed columns
- Pixeltable is persistent
- GPT-4o
- UDFs: Enhancing Pixeltable's capabilities

## What it uses

- **Install:** `pip install torch transformers timm openai pixeltable`
- **Environment variables it names:** `OPENAI_API_KEY`
- **Pixeltable calls:** `huggingface.detr_for_object_detection()`, `openai.chat_completions()`, `pxt.create_table()`, `@pxt.udf`, `insert()`, `add_computed_column()`

## A look at the code

```python
from pixeltable.functions import huggingface

t.add_computed_column(
    detections=huggingface.detr_for_object_detection(
        t.input_image, model_id='facebook/detr-resnet-50'
    )
)
```

## Open it

- **Open in Colab:** https://colab.research.google.com/github/pixeltable/pixeltable/blob/release/docs/release/overview/ten-minute-tour.ipynb
- **Docs page:** https://docs.pixeltable.com/overview/ten-minute-tour
- **Source on GitHub:** https://github.com/pixeltable/pixeltable/blob/release/docs/release/overview/ten-minute-tour.ipynb