Sketch Datasets

Sketch datasets are collections of hand-drawn images used to train and evaluate computer vision models capable of understanding and generating sketches. Current research focuses on creating larger, more diverse datasets encompassing various sketch styles, object complexities, and scene contexts, often incorporating paired image-sketch data or text descriptions for improved model training. These datasets are crucial for advancing research in sketch-based image generation, retrieval, and understanding, with applications ranging from medical image synthesis to more intuitive human-computer interaction. The development of sophisticated models, including diffusion models and transformers, is driven by the availability and quality of these datasets.