fiftyone-dataset-export

To export a FiftyOne dataset to COCO or YOLO, you need to specify the target dataset_type, the correct label_field, and an absolute export_dir using the FiftyOne Python SDK. This process converts your labels and media into the chosen standard interchange format for training.

Yes, you can publish a FiftyOne dataset to the Hugging Face Hub. The export process generates a ready-to-use dataset card and an optional fiftyone.yml file, facilitating seamless sharing and reuse of your training data workflows.

FiftyOne dataset conversion supports standard interchange formats including COCO, YOLO, VOC, CVAT, CSV, and an Image Classification Directory Tree. This allows you to prepare and archive data for various model training pipelines.

Yes, the FiftyOne Python SDK is required to export datasets. You must use it to load your dataset, correctly detect available label fields, and configure the export parameters such as export_dir, dataset_type, and label_field.

FiftyOne dataset exports often fail due to incorrect export configuration. You must ensure you provide an absolute export_dir, properly detect the available label fields in your dataset schema, and specify the correct label_field for your chosen dataset_type.