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:
placesDataset source: http://places2.csail.mit.edu/download-private.html
Dataset size: 29 GB
Tags:
image, classificationSupported splits:
train, validation, testZooDataset classes:
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
1import fiftyone as fo
2import fiftyone.zoo as foz
3
4dataset = foz.load_zoo_dataset("places", split="validation")
5
6session = fo.launch_app(dataset)
fiftyone zoo datasets load places --split validation
fiftyone app launch places-validation
