At this step, the dataset should be free of annotations.
If you have the annotations already available locally, you can import them directly into your dataset, nevertheless, they must be in COCO or PascalVOC format. To do so, press the “Annotation” button at the top right corner and select “Import annotations”. Then, follow the model’s instructions to upload the annotations file.
Once your dataset is annotated, you can still modify the annotation using the Picsellia Annotation tool, to do it, you should go to any asset from the dataset and select the “Annotate” button on it. Then the annotation tool will open and you can remove, add or modify any annotation from your dataset, more details about the annotation are available here.
Once the dataset is fully annotated, you can leverage the metrics tab to ensure your dataset is fitting your needs:
You can use the annotation tool of Picsellia to annotate your whole dataset from scratch. To do it, you need first to go to the “Settings” part of your dataset and define in the “Labels” tab the type of recognition and the associated labels (e.g classes).
Once done you can go back to the “Assets” view and start to annotate the assets.
In case you want to develop a classification model, you can use a handy feature called “Transform tags to classifications”. A prerequisite is that you have uploaded each data with the tags related to its annotation, be careful, for this manipulation each data uploaded must have only one tag which is supposed to be the annotation in the dataset. Then after the dataset creation, in the “Settings” tab, you need to set up the dataset as "Classification" and create one label that could be deleted once are tags are transformed into annotations. Once done, back in the “Assets” view, under the “Annotations” button you should see “Transform tags to classifications”, click on it, and the classes will be automatically created and the assets classified based on their tags. Please be advised that this operation can take a few minutes but is done asynchronously so you can keep working on Picsellia in the meantime.
Updated 17 days ago