Image Classification

Classify or tag images using the Universal Data Tool

Setup the Dataset
Navigate to udt.dev and click "New File"
Click "New File" on udt.dev
Then select the Image Segmentation button from the Setup > Data Type page.
Import Data
You can use any of the following methods to import image data. If you're just getting started, you can quickly create a dataset using the COCO Images method!
​Import COCO Dialog​
​Import from Google Drive​
​Import from AWS S3 Bucket​
​Import from List of URLs​
​Import from CSV or JSON​
​Upload or Open Directory​
Label your Data (with friends!)
Use the Label tab to label your data. Look at the Collaborative Labeling Guide to label with others.
An example Image Classification labeling task
Export and Use
The image classification format is easy to use. If you'd like the data in a tabular format, download as CSV and consider taking a look at the Pandas Usage Guide (which makes it easy to load into python). You can also download the images into folders using the Fast.ai Image Classification Guide.
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Building and Labeling Datasets - Previous

Image Segmentation

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Text Classification

Last modified 2yr ago