Introduction

For image classification datasets, NeuralMarker allows its user to add multiple image tags, which can generally be proved convenient in real-world use cases that require the user to tag a single object in an image with multiple features.

Steps to Follow to Create a Classification Dataset with Tags

1. Log in to the tool.

2. Click on Add button present in the rightmost corner of the Dataset page.

3. Add Dataset Page will appear.

4. Fill in all the fields in the Add Dataset form.

• Select category type as "Classification"
• Select the image tag from the image tag field.

To create an Image Tag just like the sample tag below in NeuralMarker. Click here.

• Add data to NeuralMarker using the available options listed below:
  • Google Drive Link or S3 link
  • CSV File with Image URL's
  • Drag and Drop

               To Learn More, Click Here.

5. After filling in all the entries, Click on Submit Button

Adding images to Image Classification Dataset using Drag and Drop Method

NeuralMarker accept Image files in the form of JPG, JPEG and PNG Format.

6. A New Image Classification Dataset will be created.

7. Click on Annotate button present on the dataset card.

8. Label the appropriate class according to the available image on the annotation page.

9.  Click on the preview button present on the dataset card.  

10. You will land on the preview page:

• The cursor will turn into magnifying glass Then click on the thumbnail of any image.

• An image preview overlay will appear, which will allow the user to preview the correctness of labels over the labeled image.