> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/curator/v26.09/about/concepts/image/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/curator/_mcp/server.

# Image Concepts

## Docs

- [Loading](https://docs.nvidia.com/nemo/curator/v26.09/about/concepts/image/data/loading.md): Core concepts for loading and managing image datasets from tar archives with cloud storage support
- [Data Processing](https://docs.nvidia.com/nemo/curator/v26.09/about/concepts/image/data/processing.md): Core concepts for processing image data including embedding generation, filtering, and deduplication
- [Data Export](https://docs.nvidia.com/nemo/curator/v26.09/about/concepts/image/data/export.md): Core concepts for saving and exporting curated image datasets including metadata and resharding


> **Note:** This page contains both a page directory (above) and the landing page content (below). The page directory is generated for agent use and does not appear on the landing page.

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/curator/v26.09/about/concepts/image/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/curator/_mcp/server.

> Essential concepts for image data curation including loading, processing, and export with GPU acceleration

# Image Curation Concepts

This document covers the essential concepts for image data curation in NVIDIA NeMo Curator. These concepts assume basic familiarity with data science and machine learning principles.

## Core Concept Areas

Image curation in NVIDIA NeMo Curator focuses on these key areas:

#### [Data Loading](/about/concepts/image/data/loading)

Core concepts for loading and managing image datasets

#### [Data Processing](/about/concepts/image/data/processing)

Concepts for embedding generation, classification, filtering, and deduplication

#### [Data Export](/about/concepts/image/data/export)

Concepts for saving, exporting, and resharding curated image datasets

## Infrastructure Components

The image curation concepts build on NVIDIA NeMo Curator's core infrastructure components, which are shared across all modalities (text, image, video). These components include:

#### [Memory Management](/reference/infra/memory-management)

Optimize memory usage when processing large datasets
partitioning
batching
monitoring

#### [GPU Acceleration](/reference/infra/gpu-processing)

Leverage NVIDIA GPUs for faster data processing
cuda
dali
performance

#### [Resumable Processing](/reference/infra/resumable-processing)

Continue interrupted operations across large datasets
checkpoints
recovery
batching