- Description:
This dataset contains the data from the PASCAL Visual Object Classes Challenge, corresponding to the Classification and Detection competitions.
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. WARNING: As per the official dataset, the test set of VOC2012 does not contain annotations.
Additional Documentation: Explore on Papers With Code
Source code:
tfds.object_detection.Voc
Versions:
4.0.0
(default): No release notes.
Auto-cached (documentation): No
Feature structure:
FeaturesDict({
'image': Image(shape=(None, None, 3), dtype=uint8),
'image/filename': Text(shape=(), dtype=string),
'labels': Sequence(ClassLabel(shape=(), dtype=int64, num_classes=20)),
'labels_no_difficult': Sequence(ClassLabel(shape=(), dtype=int64, num_classes=20)),
'objects': Sequence({
'bbox': BBoxFeature(shape=(4,), dtype=float32),
'is_difficult': bool,
'is_truncated': bool,
'label': ClassLabel(shape=(), dtype=int64, num_classes=20),
'pose': ClassLabel(shape=(), dtype=int64, num_classes=5),
}),
})
- Feature documentation:
Feature | Class | Shape | Dtype | Description |
---|---|---|---|---|
FeaturesDict | ||||
image | Image | (None, None, 3) | uint8 | |
image/filename | Text | string | ||
labels | Sequence(ClassLabel) | (None,) | int64 | |
labels_no_difficult | Sequence(ClassLabel) | (None,) | int64 | |
objects | Sequence | |||
objects/bbox | BBoxFeature | (4,) | float32 | |
objects/is_difficult | Tensor | bool | ||
objects/is_truncated | Tensor | bool | ||
objects/label | ClassLabel | int64 | ||
objects/pose | ClassLabel | int64 |
- Supervised keys (See
as_supervised
doc):None
voc/2007 (default config)
- Config description: This dataset contains the data from the PASCAL Visual Object Classes Challenge 2007, a.k.a. VOC2007.
A total of 9963 images are included in this dataset, where each image contains a set of objects, out of 20 different classes, making a total of 24640 annotated objects.
Download size:
868.85 MiB
Dataset size:
837.73 MiB
Splits:
Split | Examples |
---|---|
'test' |
4,952 |
'train' |
2,501 |
'validation' |
2,510 |
- Figure (tfds.show_examples):
- Examples (tfds.as_dataframe):
- 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"}
voc/2012
- Config description: This dataset contains the data from the PASCAL Visual Object Classes Challenge 2012, a.k.a. VOC2012.
A total of 11540 images are included in this dataset, where each image contains a set of objects, out of 20 different classes, making a total of 27450 annotated objects.
Download size:
3.59 GiB
Dataset size:
2.44 GiB
Splits:
Split | Examples |
---|---|
'test' |
10,991 |
'train' |
5,717 |
'validation' |
5,823 |
- Figure (tfds.show_examples):
- Examples (tfds.as_dataframe):
- Citation:
@misc{pascal-voc-2012,
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 2012 {(VOC2012)} {R}esults",
howpublished = "http://www.pascal-network.org/challenges/VOC/voc2012/workshop/index.html"}