Exporting: Occurrences to Darwin Core Archive format

[mihow]

Start with management command for creating an export from the backend

Could use a serializer, pandas DataFrame or manual way of serializing to a flat CSV

Start with Darwin core format
Others:

• COCO (for detections)

See existing PR as a start #634

[mihow]

Here are all the formats available from Label Studio. You can see these are aimed at different use cases for research or compatibility with other common workflows.

Format	Description	Tags
JSON	List of items in raw JSON format stored in one JSON file. Use to export both the data and the annotations for a dataset. It's Label Studio Common Format
JSON_MIN	List of items where only "from_name", "to_name" values from the raw JSON format are exported. Use to export only the annotations for a dataset.
CSV	Results are stored as comma-separated values with the column names specified by the values of the "from_name" and "to_name" fields.
TSV	Results are stored in tab-separated tabular file with column names specified by "from_name" "to_name" values
COCO	Popular machine learning format used by the COCO dataset for object detection and image segmentation tasks with polygons and rectangles.	image segmentation, object detection
COCO_WITH_IMAGES	COCO format with images downloaded.	image segmentation, object detection
VOC	Popular XML format used for object detection and polygon image segmentation tasks.	image segmentation, object detection
YOLO	Popular TXT format is created for each image file. Each txt file contains annotations for the corresponding image file, that is object class, object coordinates, height & width.	image segmentation, object detection
YOLO_WITH_IMAGES	YOLO format with images downloaded.	image segmentation, object detection
YOLO_OBB	Popular TXT format is created for each image file. Each txt file contains annotations for the corresponding image file. The YOLO OBB format designates bounding boxes by their four corner points with coordinates normalized between 0 and 1, so it is possible to export rotated objects.	image segmentation, object detection
YOLO_OBB_WITH_IMAGES	YOLOv8 OBB format with images downloaded.	image segmentation, object detection
CONLL2003	Popular format used for the CoNLL-2003 named entity recognition challenge.	sequence labeling, text tagging, named entity recognition
BRUSH_TO_NUMPY	Export your brush labels as NumPy 2d arrays. Each label outputs as one image.	image segmentation
BRUSH_TO_PNG	Export your brush labels as PNG images. Each label outputs as one image.	image segmentation
ASR_MANIFEST	Export audio transcription labels for automatic speech recognition as the JSON manifest format expected by NVIDIA NeMo models.	speech recognition