Generating Diverse Agricultural Data for Vision-Based Farming Applications

no code implementations • 27 Mar 2024 • Mikolaj Cieslak, Umabharathi Govindarajan, Alejandro Garcia, Anuradha Chandrashekar, Torsten Hädrich, Aleksander Mendoza-Drosik, Dominik L. Michels, Sören Pirk, Chia-Chun Fu, Wojciech Pałubicki

The integration of real-world textures and environmental factors into the procedural generation process enhances the photorealism and applicability of the synthetic data.

Semantic Segmentation