Labeling images for classification

Users can label images during the upload process, and you are able to add multiple labels at once by separating labels with a comma.

You can remove labels once they have been added, simply by clicking on the X button on the image to remove a label from an individual image. To remove the label from multiple images, select the images, and then click on the minus button next to the relevant label on the left hand side.

To add the label to multiple images, select the images, and then click the + button on the left hand side.

Users can easily add new labels which were not previously in the dataset. To do this, type in the name of the desired label in the left hand side text box, and then click on add. Follow the same instructions as above to add this classification label to images.

You can remove a label from the whole dataset if required. This will remove the label from all images containing it. To do this, click on the dropdown icon next to the label on the left hand side, and then click on the Remove Label option.

Each label has a colour associated with it. Whilst this colour is primarily for object detection and segmentation labeling. To change the colour of the label, click on the third icon next to the label name, and then select the new colour from the option list.

If you labeled your image with multiple labels, one of the labels will be surrounded in a white text box to represent that this is the default label. The default label is used if you are training a single-label classification model on images that have more than one label. To change which label is the default label, just click on the new label on the image that you would like it to default to. To change the default label on a number of images at once, select all of the images. Then, on the left hand side menu, click on the + icon next to the label you would like to choose as the default, and this will select this label as the new default for those images.