VOC-2007#
The dataset for the PASCAL Visual Object Classes Challenge 2007 (VOC2007) for the detection competition.
A total of 9,963 images are included in this dataset, where each image contains a set of objects, out of 20 different classes, making a total of 24,640 annotated objects.
Note that, as per the official dataset, the test set of VOC2007 does not contain annotations.
Details
Dataset name:
voc-2007Dataset source: http://host.robots.ox.ac.uk/pascal/VOC/voc2007
Dataset size: 868.85 MB
Tags:
image, detectionSupported splits:
train, validation, testZooDataset classes:
VOC2007Dataset(TF backend)VOC2007Dataset(Torch backend)
Note
The test split is only available via the
TensorFlow backend.
Note
You must have the Torch or TensorFlow backend(s) installed to load this dataset.
Example usage
1import fiftyone as fo
2import fiftyone.zoo as foz
3
4dataset = foz.load_zoo_dataset("voc-2007", split="validation")
5
6session = fo.launch_app(dataset)
fiftyone zoo datasets load voc-2007 --split validation
fiftyone app launch voc-2007-validation
