# Places Places is a scene recognition dataset of 10 million images comprising ~400 unique scene categories. The images are labeled with scene semantic categories, comprising a large and diverse list of the types of environments encountered in the world. **Details** - Dataset name: `places` - Dataset source: [http://places2.csail.mit.edu/download-private.html](http://places2.csail.mit.edu/download-private.html) - Dataset size: 29 GB - Tags: `image, classification` - Supported splits: `train, validation, test` - ZooDataset classes: [`PlacesDataset`](../../api/fiftyone.zoo.datasets.base.md#fiftyone.zoo.datasets.base.PlacesDataset) **Full split stats** - Train split: 1,803,460 images, with between 3,068 and 5,000 per category - Test split: 328,500 images, with 900 images per category - Validation split: 36,500 images, with 100 images per category **Example usage** Python CLI ```python import fiftyone as fo import fiftyone.zoo as foz dataset = foz.load_zoo_dataset("places", split="validation") session = fo.launch_app(dataset) ``` ```shell fiftyone zoo datasets load places --split validation fiftyone app launch places-validation ```