- Visualize the assets of your
- Import your
- Use the integrated Annotation tool
- Browse among
Assetor structure them of the
- Operate your
- Assess the quality of your
You will access the Assets view by clicking on the
First, the Assets view offers the possibility to visualize your
DatasetVersion and browse it among its
DatasetVersion also embeds its own tagging system (independent from the
Datalake tagging system) allowing you to structure your
DatasetVersion as you wish using
At this step, the
DatasetVersion should be free of
If you have the
Annotation already available locally, you can import them directly into your
DatasetVersion, nevertheless, they must be in COCO, YOLO, or PascalVOC format. To do so, press the Annotation button at the top right corner and select Import annotations. Then, follow the modal’s instructions to upload the Annotation file.
The Detection Type, the
Label, and the
Annotation will automatically be set up during the
Annotation import process. This import task is asynchronous, so you can follow its completion in the
Any Picsellia asynchronous task (
DatasetVersioncreation..) can be tracked from this Internal jobs overview:
To do it with the SDK:
Even with imported
Annotation you can still modify it using the Picsellia Annotation tool. To do it, you should go to any
Asset from the
DatasetVersion and select the Annotate button. Then the Annotation tool will open and you can remove, add or modify any
Annotation from your
DatasetVersion, more details about the
Annotationimport are available here.
DatasetVersion needs to be manually annotated, you can use the Annotation tool of Picsellia to annotate your whole
DatasetVersion from scratch.
To do it, you need first to go to the Settings part of your
DatasetVersion and define in the Labels tab the Detection Type and the associated
Labels (e.g classes).
Once done you can go back to the Assets view and start to annotate the
Asset. More details about the Annotation tool are available here.
In case you want to develop a Classification
ModelVersion, you can use a handy feature called Transform tags to classifications. A prerequisite is that you have uploaded each
Data with the
DataTag related to its
Annotation. Be careful, for this manipulation each
Data uploaded must have only one
DataTag at the
Datalake level which is supposed to be the
annotation later in the
DatasetVersion. Then after the
DatasetVersion creation, in the Settings tab, you need to set up the
DatasetVersion as Classification.
Once done, back in the Assets view, by clicking the Annotations button you should see Transform tags to classifications, click on it, and the
Labels will be automatically created and the
Asset classified based on the
DataTagof the related
Data. Please note that this operation can take a few minutes but is done asynchronously so you can keep working on Picsellia in the meantime.
Picsellia offers you the opportunity to run Processings on your
Processings are the perfect tool to apply specific treatments to your
DatasetVersionsuch as Data augmentation or pre-annotation. Here you can know more about Processings.
Now that the
DatasetVersion is fully annotated, you can browse among its
Asset thanks to the Search Bar. Do not hesitate to use auto completion to get what are the
Asset properties you can filter on.
You can even retrieve
Dataproperties from the
DatasetVersionsearch bar typing "data.***"
DatasetVersion is fully annotated, you can leverage the metrics tab to ensure your
DatasetVersion is fitting your needs. As
DatasetVersion quality is key to ensuring
Model performances, those metrics should be used to assess
DatasetVersion quality, diversity, and balancing:
Updated about 14 hours ago