Include_id ( False): whether to include the COCO ID of each sample in (newline-separated), JSON, or CSV file containing the list of image IDs to Alternatively, you can provide the path to a TXT Image_ids ( None): a list of specific image IDs to load.

If provided, only samples containing at least one instance

By default, onlyĬlasses ( None): a string or list of strings specifying requiredĬlasses to load. Supported values are ('detections', 'segmentations'). Label_types ( None): a label type or list of label types to load. Respectively, specifying the splits to load. Split ( None) and splits ( None): a string or list of strings, The following parameters are available to configure partial downloads of bothĬOCO-2014 and COCO-2017 by passing them to load_zoo_dataset ( 'coco-2017', split = 'validation', label_types =, classes =, max_samples = 25, ) session. # Images will only be downloaded if necessary # dataset = foz. If # there are not enough images matching `classes` in the split to meet # `max_samples`, only the available images will be loaded. launch_app ( dataset ) # Load segmentations for 25 samples from the validation split that # contain cats and dogs # Images that contain all `classes` will be prioritized first, followed # by images that contain at least one of the required `classes`. load_zoo_dataset ( 'coco-2017', split = 'validation', max_samples = 50, shuffle = True, ) session = fo. # By default, only detections are loaded # dataset = foz. Import fiftyone as fo import fiftyone.zoo as foz # Load 50 random samples from the validation split # Only the required images will be downloaded (if necessary).

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