Convert to Pascal VOC

The Pascal VOC (Visual Object Classes) format stands as one of the benchmarks established relatively early for object classification, segmentation and detection. It furnishes a standardized dataset for identifying object classes, utilizing an XML-based export format that enjoys widespread adoption in computer vision tasks.

For more information on how to import Pascal VOC format data into Supervisely, see the Import from PascalVOC guide.

Converting data using Supervisely Ecosystem Apps

• Export to Pascal VOC. Converts Supervisely format project to Pascal VOC and prepares downloadable .tar archive.

Converting data using Supervisely Python SDK

Easily convert your data in one line of code using the Supervisely Python SDK.

sly.convert.to_pascal_voc() function automatically detects the input data type and converts it to Pascal VOC format. For example, you can pass a path to a project, sly.Project object or sly.Dataset object. To convert a Dataset, you need to provide the project meta information as shown in the example below.

# Project path
sly.convert.to_pascal_voc("./sly_project", dest_dir="./pascal_voc")
# Project object
sly.convert.to_pascal_voc(project, dest_dir="./pascal_voc")
# or Dataset object
sly.convert.to_pascal_voc(dataset, dest_dir="./pascal_voc", meta=project.meta)

This converter allows you to convert a Project or Dataset. Each dataset in the project will be converted to a separate Pascal VOC dataset.

• Convert a project to Pascal VOC format:

# One line of code
sly.convert.to_pascal_voc("./sly_project", dest_dir="./result_pascal")

# Or using the sly.Project object
project_fs = sly.Project("./sly_project", sly.OpenMode.READ)
project_fs.to_pascal_voc("./result_pascal")

• Convert a specific dataset to Pascal VOC format:

ds = project_fs.datasets.get("dataset_name")

sly.convert.to_pascal_voc(ds, dest_dir="./result_pascal", meta=project_fs.meta)
# Or using the sly.Dataset object
ds.to_pascal_voc(project_fs.meta, dest_dir="./result_pascal")