Roboflow Docs
DashboardResourcesProducts
  • Product Documentation
  • Developer Reference
  • Changelog
  • Roboflow Documentation
  • Quickstart
  • Workspaces
    • Workspaces, Projects, and Models
    • Create a Workspace
    • Rename a Workspace
    • Delete a Workspace
  • Team Members
    • Invite a Team Member
    • Role-Based Access Control (RBAC)
    • Change a Team Member Role
    • Remove a Team Member
  • Single Sign On (SSO)
  • Workflows
    • What is Workflows?
    • Create a Workflow
    • Build a Workflow
    • Test a Workflow
    • Deploy a Workflow
    • Workflow Examples
      • Multimodal Model Workflow
    • Share a Workflow
    • Workflows AI Assistant
  • Enterprise Integrations
  • Workflow Blocks
    • Run a Model
      • Object Detection Model
      • Single-Label Classification Model
    • Visualize Predictions
      • Bounding Box Visualization
      • Label Visualization
      • Circle Visualization
      • Background Color Visualization
      • Classification Label Visualization
      • Crop Visualization
  • Dataset Management
    • Create a Project
    • Upload Images, Videos, and Annotations
      • Import Data from Cloud Providers
        • AWS S3 Bucket
        • Azure Blob Storage
        • Google Cloud Storage
      • Import from Roboflow Universe
    • Manage Datasets
      • Dataset Batches
      • Search a Dataset
      • Set Dataset Classes
      • Add Tags to Images
      • Create an Annotation Attribute
      • Download an Image
      • Delete an Image
    • Dataset Versions
      • Create a Dataset Version
      • Preprocess Images
      • Augment Images
      • Delete a Version
      • Export a Dataset Version
    • Dataset Analytics
    • Merge Projects
    • Rename a Project
    • Delete a Project
    • Project Folders
    • Make a Project Public
  • Annotate
    • Introduction to Roboflow Annotate
    • Annotate an Image
      • Keyboard Shortcuts
      • Comment on an Image
      • Annotation History
      • Similarity Search
    • AI Labeling
      • Label Assist
      • Enhanced Smart Polygon with SAM
        • Smart Polygon (Legacy)
      • Box Prompting
      • Auto Label
    • Set Keypoint Skeletons
    • Annotate Keypoints
    • Annotate Multimodal Data
    • Collaborate on Labeling
    • Annotation Insights
  • Managed Labeling
  • Train
    • Train a Model
      • Train from a Universe Checkpoint
      • Train from Azure Vision
      • Train from Google Cloud
    • Roboflow Instant
    • Cancel a Training Job
    • Stop Training Early
    • View Training Results
    • View Trained Models
    • Evaluate Trained Models
  • Download a Dataset Version
  • Deploy
    • Deploy a Model or Workflow
    • Managed Deployments
    • Serverless Hosted API V2
      • Use in a Workflow
      • Use with the REST API
      • Run an Instant Model
    • 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
    • Dedicated Deployments
      • Create a Dedicated Deployment
      • Make Requests to a Dedicated Deployment
      • Manage Dedicated Deployments with an API
    • Batch Processing
    • 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
  • Universe
    • What is Roboflow Universe?
    • Find a Dataset on Universe
    • Explore Images in a Universe Dataset
    • Fork a Universe Dataset
    • Find a Model on Universe
    • Download a Universe Dataset
  • Set a Project Description
  • View Project Analytics
  • Support
    • Share a Workspace with Support
    • Delete Your Roboflow Account
    • Apply for Academic Credits
  • Billing
    • Premium Trial
    • Credits
      • View Credit Usage
      • Enable or Disable Flex Billing
      • Purchase Prepaid Credits
    • Plans
      • Purchase a Plan
      • Cancel a Plan
      • Update Billing Details
      • Update Payment Method
      • View Invoices
Powered by GitBook
On this page
  • Download a Full Dataset
  • Clone Images to Your Roboflow Project

Was this helpful?

  1. Dataset Management
  2. Upload Images, Videos, and Annotations

Import from Roboflow Universe

Download or clone images from Roboflow Universe for use in your projects.

PreviousGoogle Cloud StorageNextManage Datasets

Last updated 3 days ago

Was this helpful?

Roboflow Universe hosts open-source datasets and pre-trained models for computer vision. Over 200,000 Datasets and 50,000 pre-trained models are available. There are two methods to adding Universe images to your dataset. You can download the entire dataset or clone select images from Roboflow Universe for use in your projects.

Download a Full Dataset

First, find a dataset on Roboflow Universe. Then, click the Download Dataset button. A pop up will appear asking you in what format you want to export your data. The options displayed are formats compatible with the computer vision task the model solves (object detection, classification, segmentation).

You can either download your dataset directly from Roboflow Universe by exporting a ZIP file or you can retrieve a code snippet that you can use to download a dataset. The provided code snippets may be useful if you are using the dataset in a notebook.

Clone Images to Your Roboflow Project

When you find a Project with images and/or annotations that work for you, open the Images page and select images to clone. You can select individual images by mousing over the image and clicking the checkbox in the upper right corner of the image. To bulk add images, you can click Select All to clone all images visible in the current results page.

After selecting images you want to clone into your project, click Clone Images and choose the Workspace that contains the Project.

Select the Workspace and then choose the Project to add the images to the Dataset.

Importing raw images (images without annotations) is a helpful option when:

  • You find images that contain the object you're interested in but the annotations may not be focused on the object you plan to train your model to identify

  • You find a classification dataset but your project requires bounding boxes

Roboflow will check if you're attempting to add images that already exist. Don't worry: You won't be able to add duplicate images.

Advanced Tips to Find the Data You Need

Using Dataset Search within research datasets can help you quickly collect a high number of fairly well labeled data to help kickstart a model.

Once you have in your Roboflow account, head to and use to find projects with images that will work for your use case.

Select images to clone to your Project
Choose a Workspace to locate a Project
Clone images to a specific project

When cloning the images into your Project, you can import the images with, or without, the annotations. As you clone images into your dataset, images with augmentations will not be included and you'll be able to when you generate a dataset.

Clone image with or without annotations

You want to use but the project has bounding boxes

Use to find exactly the data you need to fine tune your model. As an example, if our rust detection model was struggling with detecting rust on pipes, we will want to find more images of pipes to add the dataset. Rich semantic search in Projects and broadly in Roboflow Universe can be used to find the niche data you need.

Another way to find specific data is by using the and clicking on a specific class. This will bring you to the Images page with that class filtered to the top of the results.

If you can't find the data you need in Roboflow Universe, you can always or use YouTube.

created a new Project
Roboflow Universe
Dataset Search
apply your own augmentations
polygon annotations
Dataset Search
Health Check page
upload your own data via API
videos as training data