Before you start training and creating models, you need to pre-edit them. If you notice any errors in your dataset after uploading the files, you can easily correct them in our app.
For a visual guide, check out the tutorial on our Youtube channel:
In the dataset below, you can see several errors. Let's fix them.
Dataset with errors
First, you need to rename the entire dataset. TOYS is not a good descriptor for a collection of photos of office accessories. Let's replace it with the name ACCESORIES by clicking the pencil icon next to the dataset name.
Rename the dataset
Type in the appropriate name and confirm the change by clicking the save icon.
Delete the image
One of the images does not contain any of the items you are interested in. You can delete it completely by hovering over the image in question and clicking on the trash can icon. Confirm by clicking OK.
Narrow down the image selecion
If you only want to see one category of images, such as SQUISHY_TOY, narrow down the selection by clicking the appropriate tag in the right-hand menu.
Select multiple categories/tags
If your photos have more than one category/tag assigned to them, you can select and look through them in one view.
The word 'flashlight' in lowercase
The word flashlight is in lowercase. To unify this tag with the others, click the three dots next to the category name and select Edit name.
Edit category
When a new window appears, enter the corrected name FLASHLIGHT and confirm the change by clicking Ok.
Finished dataset
You may have noticed that some of the images do not have categories. We will show you how to deal with this problem in the Classification tutorial.
