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Download from Roboflow Universe
Download or clone images from Roboflow Universe for use in your projects.
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. You can download or clone images from Roboflow Universe for use in your projects.
First, find a dataset on Roboflow Universe. Then, click the
Download Datasetbutton. 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.
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.
Select images to clone to your Project
After selecting images you want to clone into your project, click Clone Images and choose the Workspace that contains the Project.
Choose a Workspace to locate a Project
Select the Workspace and then choose the Project to add the images to the Dataset.
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 apply your own augmentations when you generate a dataset.
Clone image with or without annotations
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
No need to be Roboflow will check to see if you are attempting to add any images that already exist in the Project and you won't be able to add duplicate images.
Use Dataset Search 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.
Using Dataset Search within research datasets can help you quickly collect a high number of fairly well labeled data to help kickstart a model.
Last modified 4mo ago