Roboflow Docs
DashboardResourcesProducts
  • Documentation
  • Developer Reference
  • Changelog
  • Roboflow Documentation
  • Quickstart
  • Workspaces
    • Workspaces, Projects, and Models
    • Create a Workspace
    • Manage Team Members
    • Role-Based Access Control
    • Usage Based Pricing
    • Delete a Workspace
  • Workflows
    • Create a Workflow
    • Build a Workflow
    • Test a Workflow
    • Deploy a Workflow
    • Workflow Examples
      • Multimodal Model Workflow
    • Share a Workflow
  • Datasets and Labeling
    • Create a Project
    • Upload Data
      • Import Data from Cloud Providers
        • AWS S3 Bucket
        • Azure Blob Storage
        • Google Cloud Storage
      • Upload Video
      • Import from Roboflow Universe
    • Manage Datasets
      • Dataset Batches
      • Search a Dataset
      • Set Dataset Classes
      • Add Tags to Images
      • Create an Annotation Attribute
      • Delete an Image
    • Dataset Versions
      • Create a Dataset Version
      • Preprocess Images
      • Augment Images
      • Delete a Version
      • Export a Dataset Version
    • Dataset Analytics
    • Merge Projects
    • Delete a Project
    • Project Folders
    • Make a Project Public
  • Annotate
    • Annotation Tools
    • Use Roboflow Annotate
      • Annotate Keypoints
      • Label Assist (AI Labeling)
      • Enhanced Smart Polygon with SAM (AI Labeling)
      • Smart Polygon (AI Labeling)
      • Keyboard Shortcuts
      • Comment on an Image
      • Annotation History
      • Similarity Search
      • Box Prompting (AI Labeling)
    • Auto Label
    • Collaborate on Annotations
    • Edit Keypoint Skeletons
    • Annotation Insights
  • Train
    • Train a Model
      • Train from a Universe Checkpoint
      • Train from Azure Vision
      • Train from Google Cloud
    • View Training Results
    • View Trained Models
    • Evaluate Trained Models
  • Deploy
    • Deploy a Model or Workflow
      • Roboflow Managed Deployments Overview
    • Serverless Hosted API
      • Object Detection
      • Classification
      • Instance Segmentation
        • Semantic Segmentation
      • Keypoint Detection
      • Foundation Models
        • CLIP
        • OCR
        • YOLO-World
      • Video Inference
        • Use a Fine-Tuned Model
        • Use CLIP
        • Use Gaze Detection
        • API Reference
        • Video Inference JSON Output Format
      • Pre-Trained Model APIs
        • Blur People API
        • OCR API
        • Logistics API
        • Image Tagging API
        • People Detection API
        • Fish Detection API
        • Bird Detection API
        • PPE Detection API
        • Barcode Detection API
        • License Plate Detection API
        • Ceramic Defect Detection API
        • Metal Defect Detection API
    • Serverless Hosted API V2
    • Dedicated Deployments
      • Create a Dedicated Deployment
      • Make Requests to a Dedicated Deployment
      • Manage Dedicated Deployments with an API
    • SDKs
      • Python inference-sdk
      • Web Browser
        • inferencejs Reference
        • inferencejs Requirements
      • Lens Studio
        • Changelog - Lens Studio
      • Luxonis OAK
    • Upload Custom Model Weights
    • Download Model Weights
    • Enterprise Deployment
      • License Server
      • Offline Mode
      • Kubernetes
      • Docker Compose
    • Monitor Deployed Models
      • Alerting
  • Support
    • Share a Workspace with Support
    • Account Deletion
Powered by GitBook
On this page

Was this helpful?

  1. Datasets and Labeling

Manage Datasets

Last updated 17 hours ago

Was this helpful?

Roboflow provides a suite of features for use in managing your datasets.

These include:

  1. Dataset Batches, which help you keep track of different batches of uploaded data.

  2. , which lets you find images that match both natural language search and queries by attributes like file name and number of annotations in an image.

  3. , which lets you set classes for your dataset. This is ideal for setting classes before and while a dataset is being annotated by a labeling team.

  4. , which let you save metadata about an image.

  5. , ideal for when you need to apply extra attributes to annotation.

This section of the documentation walks through each of these features.

Dataset Search
Dataset Class Management
Image Tags
Annotation Attributes