SYNTHetic Collection of Imagery and Annotations
The SYNTHIA dataset is a synthetic dataset that consists of 9400 multi-viewpoint photo-realistic frames rendered from a virtual city and comes with pixel-level semantic annotations for 13 classes. Each frame has resolution of 1280 × 960.
Source: Orientation-aware Semantic Segmentation on Icosahedron Spheres
Image Source: https://synthia-dataset.net/
Variants: SYNTHIA Fall-to-Winter, SYNTHIA-to-Cityscapes, Synthia Novel View Synthesis, SYNTHIA-CVPR’16, SYNTHIA
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Semantic Segmentation | MRFP+(Ours) Resnet50 | MRFP: Learning Generalizable Semantic Segmentation … | 2023-11-30 |
| Semantic Segmentation | Resnet50 | MRFP: Learning Generalizable Semantic Segmentation … | 2023-11-30 |
Recent papers with results on this dataset: