…Also, it provides sky segmentation masks, instance segmentation masks as well as invalid pixel masks.
10 PAPERS • NO BENCHMARKS YET
…data includes synchronized and aligned samples of the following: angle of linear polarization (AoLP) images, degree of linear polarization (DoLP) images, RGB images, lidar scans, ground truth free space segmentation (road segmentation), GNSS / IMU readings (vehicle location, vehicle orientation, vehicle speed, vehicle acceleration, etc.) and calibration matrices. Additionally, the dataset includes free space segmentation of 8,141 images.
1 PAPER • NO BENCHMARKS YET
…Each RGB image has a corresponding depth and segmentation map. As many as 700 object categories are labeled. The training and testing sets contain 5285 and 5050 images, respectively.
422 PAPERS • 13 BENCHMARKS
…Each scene is a residential building consisting of multiple rooms and floor levels, and is annotated with surface construction, camera poses, and semantic segmentation.
379 PAPERS • 5 BENCHMARKS
…Uncertainties for Autonomous Driving), consisting of 10,413 realistic synthetic images with diverse adverse weather conditions (night, fog, rain, snow), out-of-distribution objects, and annotations for semantic segmentation
3 PAPERS • NO BENCHMARKS YET
…We assess various state-of-the-art baseline techniques, encompassing models for the tasks of semantic segmentation, object detection, and depth estimation.
…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.
3,216 PAPERS • 141 BENCHMARKS
…In order to ease multitask learning, we provide a pairing of 2D instance segments with 3D bounding boxes.
9 PAPERS • 3 BENCHMARKS