Load existing datasets¶
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mira.datasets.
load_voc2012
(subset='train')[source]¶ PASCAL VOC 2012
- Parameters
subset – One of train, val, or trainval. If trainval, the scene collection contains both the train and validation sets. If train, only the training set. If val only the validation set.
- Return type
SceneCollection
- Returns
A scene collection containing the PASCAL VOC 2012 dataset.
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mira.datasets.
load_oxfordiiitpets
(breed=True)[source]¶ Load the Oxford-IIIT pets dataset. It is not divided into train, validation, and test because it appeared some files were missing from the trainval and test set documents (e.g., english_cocker_spaniel_164).
- Parameters
breed – Whether to use the breeds as the class labels. If False, the class labels are limited to dog or cat.
- Return type
SceneCollection
- Returns
A scene collection containing the dataset
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mira.datasets.
load_shapes
(n_scenes=100, classification=False, **kwargs)[source]¶ A simple dataset for testing.
- Parameters
width – The width of each image
height – The height of each image
object_count_bounds – A tuple indicating the minimum and maximum number of objects in each image
object_width_bounds – A tuple indicating the minimum and maximum widths of the objects in each image
n_scenes – The number of scenes to generate
polygons – Whether to use polygons instead of axis-aligned bounding boxes.
- Return type
SceneCollection
- Returns
A scene collection of images with circles and rectangles in it.