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LSUN - Large-scale Scene Understanding

Provides a large-scale dataset with millions of labeled images in various scene categories and object classes, aiding in scene understanding research.

About Dataset

LSUN is a large-scale image dataset focused on scene understanding, containing millions of images categorized into indoor and outdoor scene classes such as bedrooms, churches, kitchens, and streets. The dataset was created to support research in scene classification and generative modeling, with images collected from the web and organized into well-defined categories. LSUN emphasizes scene-level semantics rather than isolated objects.

Purpose of Dataset

Lsun Is Widely Used For Training And Evaluating Generative Models Such As Gans And Diffusion Models, As Well As For Scene Classification Tasks. It Enables Research On High-resolution Image Generation, Scene Synthesis, And Representation Learning. The Dataset Helps Models Learn Global Scene Structure, Layout, And Contextual Coherence, Making It Valuable For Visual Generation And Scene Understanding Research.