So far we have had a few hundred signups for the data. I ran the applications through chatGPT to get an idea of what people want to do with the data:
Research and Academic Purposes: A significant number of respondents plan to use the dataset for research in areas like computer vision, 3D reconstruction, Gaussian splatting, neural rendering fields (NeRF), and autonomous driving. Many aim to publish papers, conduct experiments, or work on academic projects such as theses.
Learning and Educational Use: Many individuals expressed interest in using the dataset for learning purposes, personal education, or as a teaching aid. This includes students working on class projects, hobbyists looking to enhance their skills, and educators seeking material for
lectures and demonstrations.
Personal Projects and Hobbyist Exploration: A considerable portion of respondents wish to explore the dataset for personal enjoyment or hobby projects. This includes experimenting with new technologies, exploring the city virtually, or simply satisfying personal curiosity.
Virtual Reality (VR) and Augmented Reality (AR) Applications: Numerous users intend to integrate the dataset into VR/AR environments using platforms like Unreal Engine and Unity. Applications range from creating immersive experiences and simulations to developing VR walkthroughs and gaming environments.
Video Creation, Animation, and Visual Effects (VFX): Several respondents plan to use the dataset for filmmaking, creating animations, or experimenting with visual effects. This includes producing content for personal portfolios, social media, and non-commercial projects.
Experimentation and Testing: A number of users are interested in testing new technologies, workflows, or software capabilities using the dataset. This includes experimenting with rendering techniques, 3D modeling, and spatial data handling.
Gaussian Splatting and Advanced Rendering Techniques: Many respondents specifically mentioned Gaussian splatting as an area of interest. They plan to use the dataset to test, implement, or improve techniques related to point-based rendering and large-scale scene visualization.
Game Development: Some users aim to incorporate the dataset into game development projects. This includes creating realistic environments, developing game mods, or using the data as reference material for designing game levels.
Artistic and Creative Projects: A subset of respondents expressed intentions to use the dataset for artistic endeavors, such as digital art installations, motion graphics, and experimental visualizations.
Virtual Tourism and City Exploration: A few individuals plan to use the dataset to virtually explore the city, create virtual walking tours, or develop tools that allow others to experience Prague remotely.
Key Takeaways: High Interest in Research and Education: The dataset is highly valued for its potential to contribute to academic research and educational purposes.
Strong Enthusiasm for VR/AR and Advanced Visualization: There's a notable enthusiasm for using the dataset in VR/AR applications and exploring advanced rendering techniques like Gaussian splatting.
Diverse Range of Uses: Respondents show a wide range of interests, from personal exploration and hobby projects to professional development and creative arts.