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voc2007

This dataset contains the data from the PASCAL Visual Object Classes Challenge 2007, a.k.a. VOC2007, corresponding to the Classification and Detection competitions. 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. In the Classification competition, the goal is to predict the set of labels contained in the image, while in the Detection competition the goal is to predict the bounding box and label of each individual object.

Features

FeaturesDict({
    'image': Image(shape=(None, None, 3), dtype=tf.uint8),
    'image/filename': Text(shape=(), dtype=tf.string),
    'labels': Sequence(ClassLabel(shape=(), dtype=tf.int64, num_classes=20)),
    'labels_no_difficult': Sequence(ClassLabel(shape=(), dtype=tf.int64, num_classes=20)),
    'objects': Sequence({
        'bbox': BBoxFeature(shape=(4,), dtype=tf.float32),
        'is_difficult': Tensor(shape=(), dtype=tf.bool),
        'is_truncated': Tensor(shape=(), dtype=tf.bool),
        'label': ClassLabel(shape=(), dtype=tf.int64, num_classes=20),
        'pose': ClassLabel(shape=(), dtype=tf.int64, num_classes=5),
    }),
})

Statistics

Split Examples
ALL 9,963
TEST 4,952
VALIDATION 2,510
TRAIN 2,501

Urls

Supervised keys (for as_supervised=True)

None

Citation

@misc{pascal-voc-2007,
  author = "Everingham, M. and Van~Gool, L. and Williams, C. K. I. and Winn, J. and Zisserman, A.",
  title = "The {PASCAL} {V}isual {O}bject {C}lasses {C}hallenge 2007 {(VOC2007)} {R}esults",
  howpublished = "http://www.pascal-network.org/challenges/VOC/voc2007/workshop/index.html"}