# 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-2007` - Dataset source: [http://host.robots.ox.ac.uk/pascal/VOC/voc2007](http://host.robots.ox.ac.uk/pascal/VOC/voc2007) - Dataset size: 868.85 MB - Tags: `image, detection` - Supported splits: `train, validation, test` - ZooDataset classes: - [`VOC2007Dataset`](../../api/fiftyone.zoo.datasets.tf.md#fiftyone.zoo.datasets.tf.VOC2007Dataset) (TF backend) - [`VOC2007Dataset`](../../api/fiftyone.zoo.datasets.torch.md#fiftyone.zoo.datasets.torch.VOC2007Dataset) (Torch backend) #### NOTE The `test` split is only available via the [TensorFlow backend](../api.md#dataset-zoo-ml-backend). #### NOTE You must have the [Torch or TensorFlow backend(s)](../api.md#dataset-zoo-ml-backend) installed to load this dataset. **Example usage** Python CLI ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("voc-2007", split="validation") session = fo.launch_app(dataset) ``` ```shell fiftyone zoo datasets load voc-2007 --split validation fiftyone app launch voc-2007-validation ```