EDEN (Enclosed garDEN) is a multimodal synthetic dataset, a dataset for nature-oriented applications. The dataset features more than 300K images captured from more than 100 garden models. Each image is annotated with various low/high-level vision modalities, including semantic segmentation, depth, surface normals, intrinsic colors, and optical flow.
Source: EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN ScenesPaper | Code | Results | Date | Stars |
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