…Also, it provides sky segmentation masks, instance segmentation masks as well as invalid pixel masks.
10 PAPERS • NO BENCHMARKS YET
…The dataset contains annotations for left and right views that include: camera intrinsics and extrinsics, image depth, instance segmentation masks, binary foreground / background segmentation masks, optical
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…For each sequence we provide multiple sets of images containing RGB, depth, class segmentation, instance segmentation, flow, and scene flow data.
33 PAPERS • 1 BENCHMARK
…Each image is annotated with various low/high-level vision modalities, including semantic segmentation, depth, surface normals, intrinsic colors, and optical flow.
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…Each frame has a semantic segmentation of the objects in the scene and information about the camera pose. It is composed by 415 sequences captured in 254 different spaces, in 41 different buildings.
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…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
…In the semantic segmentation task, this dataset is marked in 20 classes of annotated 3D voxelized objects.
1,239 PAPERS • 19 BENCHMARKS
…To gather the simulated dataset, we captured before and after flood pairs from 2000 viewpoints with the following modalities: non-flooded RGB image, depth map, segmentation map flooded RGB image, binary mask of the flooded area, segmentation map The camera was placed about 1.5 above ground, and has a field of view of 120 degree, and the resolution of the images is 1200 x 900.
2 PAPERS • 1 BENCHMARK
…The data for each image includes segmentation maps, 3d depth maps, and normal maps of of the liquid or object inside the transparent vessel, and the vessel.
1 PAPER • 1 BENCHMARK
A dataset of 100K synthetic images of skin lesions, ground-truth (GT) segmentations of lesions and healthy skin, GT segmentations of seven body parts (head, torso, hips, legs, feet, arms and hands), and
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…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.
3,216 PAPERS • 141 BENCHMARKS
…Tasks our dataset support: Generaliazable Novel view synthesis (Few shot evaluation) Novel view synthesis (Overfitting evaluation) 6D pose estimation Object editing Depth estimation Semantic Segmentation Instance Segmentation
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…We segmented these images using Removebg application, and computed the UV coordinates from DensePose. Download TikTok Dataset: Please use the dataset only for the research purpose.