Data Preparation

Data preparation is the foundation of successful computer vision models. Ultralytics Platform provides comprehensive tools for managing your training data, from upload through annotation to analysis.

Overview

The Data section of Ultralytics Platform helps you:

Upload images, videos, and ZIP archives
Annotate with manual tools and AI-assisted labeling
Analyze your data with statistics and visualizations
Export in standard formats for local training

Workflow

graph LR
    A[📤 Upload] --> B[🏷️ Annotate]
    B --> C[📊 Analyze]
    C --> D[🚀 Train]

    style A fill:#4CAF50,color:#fff
    style B fill:#2196F3,color:#fff
    style C fill:#FF9800,color:#fff
    style D fill:#9C27B0,color:#fff

Stage	Description
Upload	Import images, videos, or ZIP archives with automatic processing
Annotate	Label data with bounding boxes, polygons, keypoints, or classifications
Analyze	View class distributions, spatial heatmaps, and dimension statistics
Export	Download in NDJSON format for offline use

Supported Tasks

Ultralytics Platform supports all 5 YOLO task types:

Task	Description	Annotation Tool
Detect	Object detection with bounding boxes	Rectangle tool
Segment	Instance segmentation with pixel masks	Polygon tool
Pose	Keypoint estimation (17-point COCO format)	Keypoint tool
OBB	Oriented bounding boxes for rotated objects	Oriented box tool
Classify	Image-level classification	Class selector

Key Features

Smart Storage

Ultralytics Platform uses efficient storage technology:

Deduplication: Identical images stored only once
Integrity: Checksums ensure data integrity
Efficiency: Optimized storage and fast processing

Dataset URIs

Reference datasets using the ul:// URI format:

yolo train data=ul://username/datasets/my-dataset

This allows training on Platform datasets from any machine with your API key configured.

Statistics and Visualization

Every dataset includes automatic statistics:

Class Distribution: Bar chart of label counts per class
Location Heatmap: Spatial distribution of annotations
Dimension Analysis: Image width vs height distribution
Split Breakdown: Train/validation/test sample counts

Quick Links

Datasets: Upload and manage your training data
Annotation: Label data with manual and AI-assisted tools

FAQ

What file formats are supported for upload?

Ultralytics Platform supports:

Images: JPG, PNG, WebP, TIFF, BMP, and other common formats
Videos: MP4, AVI, MOV - frames are extracted automatically
Archives: ZIP files containing images with optional YOLO-format labels

What is the maximum dataset size?

Storage limits depend on your plan:

Plan	Storage Limit
Free	100 GB
Pro	500 GB
Enterprise	Custom

Can I use my Platform datasets for local training?

Yes! Use the dataset URI format to train locally:

export ULTRALYTICS_API_KEY="your_key"
yolo train data=ul://username/datasets/my-dataset epochs=100

Or export your dataset in NDJSON format for fully offline training.

📅 Created 0 days ago ✏️ Updated 0 days ago