---
title: "Quick Intro - VOC Public Dataset"
slug: "intro-data-exploration"
updated: 2025-08-18T02:49:39Z
published: 2025-08-18T02:49:39Z
canonical: "docs.akridata.ai/intro-data-exploration"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.akridata.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Intro to Data Exploration

The video below introduces data exploration and search functionality using PASCAL VOC2012 public dataset.

[Embedded content](https://akridata-ai.portal.trainn.co/share/mD90dsOm9c4us6Gio2ANcg/embed?autoplay=false)

1. Data exploration is available within a **'job.'**The **'Jobs'** page is reachable through **Data Copilot**> **Data Visualization**> **Explore**on the left navigation panel.
2. The job visualization shows a plot panel and a thumbnail panel. The plot view gives a quick insight into the overall organization of data, with colors representing the different clusters.
3. A point is selected by clicking on the point, resulting in the thumbnail panel populated with samples related to the point. Various sampling modes, like K nearest neighbors, group by cluster, etc., are available.
4. Each thumbnail has controls to mark a point for similarity search, expand the image in full resolution, etc.
5. A similarity search can be run on the entire image or a selected image region (patch search).
6. The curated results through sampling or searching can be saved into a resultset for future retrieval and materialization (copying) into a chosen storage location like an S3 bucket or equivalent.