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Datasets/SUN RGB-D

SUN RGB-D

ImagesInteractivePoint cloudRGB-DUnknownIntroduced 2015-01-01

The SUN RGBD dataset contains 10335 real RGB-D images of room scenes. 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.

Source: Mix and match networks: multi-domain alignment for unpaired image-to-image translation Image Source: https://rgbd.cs.princeton.edu/

Benchmarks

16k/AP@0.15 (NYU-37)16k/AP@0.15 (10 / NYU-37)16k/AP@0.15 (10 / PNet-30)16k/AP 0.5 2D Classification/AP@0.15 (NYU-37)2D Classification/AP@0.15 (10 / NYU-37)2D Classification/AP@0.15 (10 / PNet-30)2D Classification/AP 0.5 2D Object Detection/AP@0.15 (NYU-37)2D Object Detection/AP@0.15 (10 / NYU-37)2D Object Detection/AP@0.15 (10 / PNet-30)2D Object Detection/AP 0.5 3D/AP@0.15 (NYU-37)3D/AP@0.15 (10 / NYU-37)3D/AP@0.15 (10 / PNet-30)3D/AP 0.5 3D Object Detection/AP@0.15 (NYU-37)3D Object Detection/AP@0.15 (10 / NYU-37)3D Object Detection/AP@0.15 (10 / PNet-30)Object Detection/AP@0.15 (NYU-37)Object Detection/AP@0.15 (10 / NYU-37)Object Detection/AP@0.15 (10 / PNet-30)Object Detection/AP 0.5 Room Layout Estimation/IoU Room Layout Estimation/Camera Pitch Room Layout Estimation/Camera Roll

Statistics

Papers: 477
Benchmarks: 26

Links

Tasks

16k 2D Classification 2D Object Detection 3D 3D Object Detection Monocular 3D Object Detection Monocular Depth Estimation Object Detection Object Detection In Indoor Scenes Panoptic Segmentation Panoptic Segmentation (PanopticNDT instances)Robust Semi-Supervised RGBD Semantic Segmentation Room Layout Estimation Scene Classification (unified classes)Scene Recognition Scene Segmentation Semantic Segmentation