Omkar2118/datasets huggingface dataset:
Places205

The **Places205** dataset is a large-scale scene-centric dataset with 205 common scene categories. The training dataset contains around 2,500,000 images from these categories. In the training set, each scene category has the minimum 5,000 and maximum 15,000 images. The validation set contains 100 images per category (a total of 20,500 images), and the testing set includes 200 images per category (a total of 41,000 images).

Source: [Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs](https://arxiv.org/abs/1610.01119)
Image Source: [http://places.csail.mit.edu/browser.html](http://places.csail.mit.edu/browser.html)

Introducing paper: Learning Deep Features for Scene Recognition using Places Database