We use Kubric and ESIM simulator to make our EKubric dataset, which has 15,367 RGB-PointCloud-Event pairs with annotations (including optical flow, scene flow, surface normal, semantic segmentation and
1 PAPER • NO BENCHMARKS YET
…Each image is annotated with various low/high-level vision modalities, including semantic segmentation, depth, surface normals, intrinsic colors, and optical flow.
3 PAPERS • NO BENCHMARKS YET
…The dataset also contains ground truth instance segmentation masks for 110 images in the test set.
…WoodScape comprises four surround-view cameras and nine tasks, including segmentation, depth estimation, 3D bounding box detection, and a novel soiling detection.
12 PAPERS • NO BENCHMARKS YET
…synthetic video dataset designed to learn and evaluate computer vision models for several video understanding tasks: object detection and multi-object tracking, scene-level and instance-level semantic segmentation
120 PAPERS • 1 BENCHMARK
…Despite its popularity, the dataset itself does not contain ground truth for semantic segmentation. However, various researchers have manually annotated parts of the dataset to fit their necessities.
3,233 PAPERS • 141 BENCHMARKS