Quickstart
Import a local image directory, configure its annotation schema, and inspect the dataset in the Explorer.
Prerequisites
- Pixano running (see Installation).
- A flat directory containing only JPEG or PNG files (no subdirectories).
The example folder, my_images_dataset, contains three images. Record counts depend on the
selected files.
Import with the wizard
- Open Pixano in a browser. In the empty Library, click Import dataset to open the import wizard.
- In Setup, use the Source pane on the left to select Raw media.
- In Annotation setup on the right, select Image annotation. Bounding boxes and
Masks are enabled by default; Polygons & lines is optional. Add Object attributes
such as
category(String) if required by the annotation schema. - In Source, click Choose a folder and select
my_images_dataset. After upload, Detected layout reports 3 records, each with oneimageview. - Leave Dataset name empty to use the folder name. Keep Overwrite existing dataset unchecked for a new dataset, then click Review import.
- In Review, check the record count, Media views, Annotation setup, and Sample records. Analysis does not create the dataset. Use Edit setup to make changes, or click Start import.
- The wizard closes and the import runs in the background. The job tray shows progress and a Cancel control. On completion, the Library updates automatically with the new dataset.
The same Setup → Review flow supports video, Visual Q&A, and image–text annotation tasks,
plus existing Pixano, MS COCO, and LeRobot datasets. Select the data format in Source and
configure applicable tools and attributes in Annotation setup. In a raw media directory,
train/, val/, and test/ subdirectories become splits.
Inspect the dataset
Click the dataset card. The Explorer lists the records in a gallery, one per image. Click a record to open it in the annotation Workspace.
Each image is stored as a record with a single view. Annotated objects are entities; each bounding box, mask, or polygon attached to an entity is an annotation. Review summarizes the views, annotation tools, and custom attributes. See Key Concepts for the data model.